Python Deep Learning

Kaggle
Official Kaggle API

Kaggle/kaggle-api

Kaggle API Official API for https://www.kaggle.com, accessible using a command line tool implemented in Python 3. Beta release - Kaggle reserves the right to modify the API functionality currently offered. IMPORTANT: Competitio

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SSD: Single Shot MultiBox Object Detector, in PyTorch A PyTorch implementation of Single Shot MultiBox Detector from the 2016 paper by Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang, and Alex

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Python Data Science Tutorials This repo contains a curated list of Python tutorials for Data Science, NLP and Machine Learning. Curated list of R tutorials for Data Science, NLP and Machine Learning. Comprehensive top

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Machine Learning with TensorFlow This is the official code repository for Machine Learning with TensorFlow. Get started with machine learning using TensorFlow, Google's latest and greatest machine learning library. Su

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Background Matting: The World is Your Green Screen By Soumyadip Sengupta, Vivek Jayaram, Brian Curless, Steve Seitz, and Ira Kemelmacher-Shlizerman This paper will be presented in IEEE CVPR 2020. Project Page Go to

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MindsDB is an Explainable AutoML framework for developers built on top of Pytorch. It enables you to build, train and test state of the art ML models in as simple as one line of code.

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SQLFlow
Brings SQL and AI together.

sql-machine-learning/sqlflow

SQLFlow What is SQLFlow SQLFlow is a bridge that connects a SQL engine, e.g. MySQL, Hive or MaxCompute, with TensorFlow, XGBoost and other machine learning toolkits. SQLFlow extends the SQL syntax to enable model

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Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

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Fawkes is a privacy protection system developed by researchers at SANDLab, University of Chicago. For more information about the project, please refer to our project webpage.

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This repo will contain source code and materials for the TecoGAN project, i.e. code for a TEmporally COherent GAN

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Marek Kubica
XML to JavaScript object converter.

Leonidas-from-XIV/node-xml2js

node-xml2js Ever had the urge to parse XML? And wanted to access the data in some sane, easy way? Don't want to compile a C parser, for whatever reaso

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Serenata de Amor is an open project using data science for social accountability of public expenses. We use technology just like large organizations such as Google, Facebook and Netflix in order to track government spendings and to make

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In this repository we release models from the paper An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale that were pre-trained on the ImageNet-21k (imagenet21k) dataset. We provide the code for fine-tuning the released models in Jax/Flax.

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Lucid Lucid is a collection of infrastructure and tools for research in neural network interpretability. We're not currently supporting tensorflow 2! If you'd like to use lucid in colab which defaults to tensorflow 2, a

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These tutorials have been merged into the official PyTorch tutorials. Please go there for better maintained versions of these tutorials compatible with newer versions of PyTorch. Learn PyTorch with project-based tutorials. These tutori

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Open Neural Network eXchange (ONNX) Model Zoo The ONNX Model Zoo is a collection of pre-trained models for state-of-the-art models in deep learning, available in the ONNX format. Accompanying each model are Jupyter n

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A scikit-learn compatible neural network library that wraps PyTorch. Resources Documentation Source Code Examples To see more elaborate examples, look here. import numpy as np from sklearn.dat

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Keras RetinaNet Keras implementation of RetinaNet object detection as described in this paper by Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He and Piotr Dollár. Training An example on how to train keras-retinan

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Deep Learning - All You Need to Know Download Free Python Machine Learning Book Slack Group Table of Contents Introduction Motivation

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pyfolio pyfolio is a Python library for performance and risk analysis of financial portfolios developed by Quantopian Inc. It works well with the Zipline open source backtesting library. At the core of pyfolio is a s

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The fastest way to access and manage datasets for PyTorch and TensorFlow. Easily build scalable data pipelines.

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DrQA This is a PyTorch implementation of the DrQA system described in the ACL 2017 paper Reading Wikipedia to Answer Open-Domain Questions. Quick Links About Demo Installation Components Machine

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Semantic Segmentation on MIT ADE20K dataset in PyTorch This is a PyTorch implementation of semantic segmentation models on MIT ADE20K scene parsing dataset (http://sceneparsing.csail.mit.edu/). ADE20K is the largest open source

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Justin Johnson
Simple examples to introduce PyTorch

jcjohnson/pytorch-examples

This repository introduces the fundamental concepts of PyTorch through self-contained examples. At its core, PyTorch provides two main features: An n-dimensional Tensor, similar to numpy but can run on GPUs Automatic differentiation

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This video in better quality. einops Flexible and powerful tensor operations for readable and reliable code. Supports numpy, pytorch, tensorflow, and others. Contents Tutorial API micro-refere

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Monthly KubeFlow Workshop You must register on Eventbrite. All instructions will come through Eventbrite. Please make sure your Eventbrite email address is up to date. Upcoming O'Reilly Book: Data Science on Amazon We

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You Only Look At CoefficienTs ██╗ ██╗ ██████╗ ██╗ █████╗ ██████╗████████╗ ╚██╗ ██╔╝██╔═══██╗██║ ██╔══██╗██╔════╝╚══██╔══╝ ╚████╔╝ ██║ ██║██║ ███████║██║ ██║ ╚██╔╝ ██║ ██║██║ █

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Petros Christodoulou
PyTorch implementations of deep reinforcement learning algorithms and environments

p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

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SSD: Single Shot MultiBox Detector in TensorFlow SSD is an unified framework for object detection with a single network. It has been originally introduced in this research article. This repository contains a TensorFlow re-implem

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DIGITS DIGITS (the Deep Learning GPU Training System) is a webapp for training deep learning models. Installation Installation method Supported platform[s] Available versions Instructions

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PyTorch Metric Learning Documentation View the documentation here Google Colab Examples See the examples folder for notebooks that show entire train/test workflows with logging and model

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Deep Reinforcement Learning Nanodegree This repository contains material related to Udacity's Deep Reinforcement Learning Nanodegree program. Table of Contents Tutorials The tutorials lead you through imp

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DeepMind
Learning to Learn in TensorFlow

deepmind/learning-to-learn

Learning to Learn in TensorFlow Dependencies TensorFlow >=1.0 Sonnet >=1.0 Training python train.py --problem=mnist --save_path=./mnist Command-line flags: save_path: If present, the opti

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AutoGluon: AutoML Toolkit for Deep Learning AutoGluon automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few lines of code, you can train and de

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Deep Learning Tutorials Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to one of its original goals: Artificial Intelligence. Deep Learning

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PyTorch Metric Learning Documentation View the documentation here Google Colab Examples See the examples folder for notebooks that show entire train/test workflows with loggin

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the people's comma the paper Learning a Driving Simulator the comma.ai driving dataset 7 and a quarter hours of largely highway driving. Enough to train what we had in Bloomberg. Examples We pre

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Jacob Gildenblat
PyTorch implementation of Grad-CAM

jacobgil/pytorch-grad-cam

Grad-CAM implementation in Pytorch What makes the network think the image label is 'pug, pug-dog' and 'tabby, tabby cat': Combining Grad-CAM with Guided Backpropagation for the 'pug, pug-dog' class: Gra

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Minchul Shin
Curated list of awesome GAN applications and demo

nashory/gans-awesome-applications

gans-awesome-applications Curated list of awesome GAN applications and demonstrations. Note: General GAN papers targeting simple image generation such as DCGAN, BEGAN etc. are not included in the list. I mainly care about appl

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⚡Super fast and lightweight anchor-free object detection model. ?Only 1.8mb and run 97FPS on cellphone?

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Baidu Research
Fast parallel CTC.

baidu-research/warp-ctc

In Chinese 中文版 warp-ctc A fast parallel implementation of CTC, on both CPU and GPU. Introduction Connectionist Temporal Classification is a loss funct

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Graph Convolutional Networks in PyTorch PyTorch implementation of Graph Convolutional Networks (GCNs) for semi-supervised classification [1]. For a high-level introduction to GCNs, see: Thomas Kipf, Graph Convolutional Networks

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ESRGAN (Enhanced SRGAN) [BasicSR] [EDVR] [DNI] We have merged the training codes of ESRGAN into MMSR ? MMSR is an open source image and video super-resolution toolbox based on PyTorch. It is a part of the open-

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Citation This work was accepted to be presented at IWSSIP 2020. If you use this code for your research, please consider citing: @article{padillaCITE2020, title = {Survey on Performance Metrics for Object-Detection Algorithms

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PySOT PySOT is a software system designed by SenseTime Video Intelligence Research team. It implements state-of-the-art single object tracking algorithms, including SiamRPN and SiamMask. It is written in Python and powered by the

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Cloud Custodian Cloud Custodian is a rules engine for managing public cloud accounts and resources. It allows users to define policies to enable a wel

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PyTorch training code and pretrained models for DETR (DEtection TRansformer). We replace the full complex hand-crafted object detection pipeline with a Transformer, and match Faster R-CNN with a ResNet-50, obtaining 42 AP on COCO using half the computation power (FLOPs) and the same number of parameters. Inference in 50 lines of PyTorch.

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Graham Jenson
A List of Recommender Systems and Resources

grahamjenson/list_of_recommender_systems

List of Recommender Systems Recommender systems (or recommendation engines) are useful and interesting pieces of software. I wanted to compare recommender systems to each other but could not find a decent list, so here is the one

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PyTorch Implementation of Differentiable ODE Solvers This library provides ordinary differential equation (ODE) solvers implemented in PyTorch. Backpropagation through all solvers is supported using the adjoint method. For usage

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« usbkill » is an anti-forensic kill-switch that waits for a change on your USB ports and then immediately shuts down your computer. To run: sudo pyth

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Website • Docs • Forum • Twitter • We're Hiring All-in-one Docker image for Deep Learning Here are Dockerfiles to get you up and running with a fully functional deep learning machine. It contains all the popular deep learning

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ECMAScript 6 Tools Transpilers Babel - Turn ES6+ code into vanilla ES5 with no runtime Traceur compiler - ES6 features > ES5. Includes classes, genera

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FATE (Federated AI Technology Enabler) is an open-source project initiated by Webank's AI Department to provide a secure computing framework to support the federated AI ecosystem

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DISCONTINUATION OF PROJECT. This project will no longer be maintained by Intel. Intel will not provide or guarantee development of or support for this project, including but not limited to, maintenance, bug fixes, new releases or updates. P

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We are currently alpha-testing a fully automated statuspage GitHub app. Check out corestatus.io if you like to test it out. Statuspage A statuspage ge

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Rendering of live Jupyter notebooks with interactive widgets. Introduction Voilà turns Jupyter notebooks into standalone web applications. Unlike the usual HTML-converted notebooks, each user connecting to the V

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LSTM Neural Network for Time Series Prediction LSTM built using the Keras Python package to predict time series steps and sequences. Includes sine wave and stock market data. Full article write-up for this code Video on the wor

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TL;DR Ignite is a high-level library to help with training neural networks in PyTorch: ignite helps you write compact but full-featured training loops in a few lines of code you get a trainin

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This is an attempt to modify Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook's code into PyTorch.

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BigDL: Distributed Deep Learning on Apache Spark What is BigDL? BigDL is a distributed deep learning library for Apache Spark; with BigDL, users can write their deep learning applications as standard Spark p

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Lasagne Lasagne is a lightweight library to build and train neural networks in Theano. Its main features are: Supports feed-forward networks such as Convolutional Neural Networks (CNNs), recurrent networks inc

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Implementation of deep learning framework -- Unet, using Keras The architecture was inspired by U-Net: Convolutional Networks for Biomedical Image Segmentation. Overview Data The original dataset is from

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Wiki and tutorials | Documentation | Getting Started | Algorithms | Design | FAQ Distiller is an open-source Python package for neural network compression research. Network compression can re

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null
Collection of generative models in Tensorflow

hwalsuklee/tensorflow-generative-model-collections

tensorflow-generative-model-collections Tensorflow implementation of various GANs and VAEs. Related Repositories Pytorch version Pytorch version of this repository is availabel at https://github.com/znxlwm/

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Introduction This is fairseq, a sequence-to-sequence learning toolkit for Torch from Facebook AI Research tailored to Neural Machine Translation (NMT). It implements the convolutional NMT models proposed in Convolutional Sequence

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NVIDIA Neural Modules: NeMo NeMo is a toolkit for creating Conversational AI applications. NeMo toolkit makes it possible for researchers to easily compose complex neural network architectures for conversationa

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Minimal PyTorch implementation of YOLOv4

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TensorFlowOnSpark TensorFlowOnSpark brings scalable deep learning to Apache Hadoop and Apache Spark clusters. By combining salient features from the TensorFlow deep learning framework with Apache Spark and Apache Hadoop,

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Realtime object detection on RTSP cameras with the Google Coral

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StarSpace StarSpace is a general-purpose neural model for efficient learning of entity embeddings for solving a wide variety of problems: Learning word, sentence or document level embeddings. Information retrieval: rankin

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TensorTrade: Trade Efficiently with Reinforcement Learning TensorTrade is still in Beta, meaning it should be used very cautiously if used in production, as it may contain bugs. TensorTrade is an open source Pyt

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Qiang Wang
Visual Tracking Paper List

foolwood/benchmark_results

Visual Tracking Paper List Papers ? Recommendations ? Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte. "Know Your Surroundings: Exploiting Scene Information for Object Tracking

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[UPDATED] A TensorFlow Implementation of Attention Is All You Need When I opened this repository in 2017, there was no official code yet. I tried to implement the paper as I understood, but to no surprise it had several bugs. I r

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NVIDIA DALI Deep learning applications require complex, multi-stage pre-processing data pipelines. Such data pipelines involve compute-intensive operations that are carried out on the CPU. For example, tasks such as: load d

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MSRA CVer
Deformable Convolutional Networks

msracver/Deformable-ConvNets

Deformable Convolutional Networks Update [04/15/2019] The PyTorch version of deformable convolution operators are available in the mmdetection codebase. They are very efficient! [12/01/2018] We updated the deformable

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Deprecation notice. This toolbox is outdated and no longer maintained. There are much better tools available for deep learning than this toolbox, e.g. Theano, torch or tensorflow I would suggest you use one of the tools mention

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Voice Conversion with Non-Parallel Data Subtitle: Speaking like Kate Winslet Authors: Dabi Ahn([email protected]), Kyubyong Park([email protected]) Samples https://soundcloud.com/andabi/sets/

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? A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

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Python library with Neural Networks for Image Segmentation based on Keras and TensorFlow. The main features of this library are: High level API (just two lines of code to create model for segmentation) 4 models architecture

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TensorRTx aims to implement popular deep learning networks with tensorrt network definition APIs. As we know, tensorrt has builtin parsers, including caffeparser, uffparser, onnxparser, etc. But when we use these parsers, we often run into some "unsupported operations or layers" problems, especially some state-of-the-art models are using new type of layers.

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Paints Chainer Paints Chainer is a line drawing colorizer using chainer. Using CNN, you can colorize your sketch semi-automatically . DEMO http://paintschainer.preferred.tech/ Requirement If not specifie

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Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition using DeepMind's WaveNet A tensorflow implementation of speech recognition based on DeepMind's WaveNet: A Generative Model for Raw Audio. (Hereafter th

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RStudio
RStudio Cheat Sheets

rstudio/cheatsheets

RStudio Cheat Sheets The cheat sheets make it easy to learn about and use some of our favorite packages. They are published in their respective PDF versions here: https://www.rstudio.com/resources/cheatsheets/, some are also av

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PyTorchZeroToAll Quick 3~4 day lecture materials for HKUST students. Video Lectures: (RNN TBA) Youtube Bilibili Slides Lecture Slides @GoogleDrive If you cannot access the GoogleDoc for some

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tf-faster-rcnn is deprecated: For a good and more up-to-date implementation for faster/mask RCNN with multi-gpu support, please see the example in TensorPack here. tf-faster-rcnn A Tensorflow implementation of faster

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Snips NLU Snips NLU (Natural Language Understanding) is a Python library that allows to extract structured information from sentences written in natural language. Summary What is Snips NLU about ?

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PyAlgoTrade PyAlgoTrade is an event driven algorithmic trading Python library. Although the initial focus was on backtesting, paper trading is now possible using: Bitstamp for Bitcoins and live trading is now possible u

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Machine learning basics This repository contains implementations of basic machine learning algorithms in plain Python (Python Version 3.6+). All algorithms are implemented from scratch without using additional machine learning li

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TensorFlow Probability TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of probabilistic meth

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#colornet Neural Network to colorize grayscale images Results Grayscale&

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This repository implements some common path planning algorithms used in robotics, including Search-based algorithms and Sampling-based algorithms. We designed animation for each algorithm to display the running process.

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The project is an official implement of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

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BertViz BertViz is a tool for visualizing attention in the Transformer model, supporting all models from the transformers library (BERT, GPT-2, XLNet, RoBERTa, XLM, CTRL, etc.). It extends the Tensor2Tensor visualization tool by

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DoWhy is a Python library that makes it easy to estimate causal effects. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

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? TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

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What is Frege? Winner of the JavaOne Emerging Languages Bowl 2015, 2016, 2017 Frege is a Haskell for the JVM. Like any Haskell, it is purely functiona

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neural image analogies This is basically an implementation of this "Image Analogies" paper, In our case, we use feature maps from VGG16. The patch matching and blending is inspired by the method described in "Combining Markov

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Differentiable architecture search for convolutional and recurrent networks

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Yellowbrick Visual analysis and diagnostic tools to facilitate machine learning model selection. Image by Quatro Cinco, used with permission, Flickr Creative Commons. This README is a guide for developers, if you're ne

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Tensorflow Project Template A simple and well designed structure is essential for any Deep Learning project, so after a lot of practice and contributing in tensorflow projects here's a tensorflow project template that combines si

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