Python Deep Learning

Google Creative Lab
A piano that responds to you.

googlecreativelab/aiexperiments-ai-duet

A.I. Duet A piano that responds to you. About This experiment lets you make music through machine learning. A neural network was trained on many MIDI examples and it learned about musical concepts, building a map of n

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Image Quality Assessment This repository provides an implementation of an aesthetic and technical image quality model based on Google's research paper "NIMA: Neural Image Assessment". You can find a quick introduction on thei

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Video Scene Cut Detection and Analysis Tool Latest Release: v0.5.2 (March 29, 2020) Main Webpage: py.scenedetect.com Documentation: manual.scenedetect.com Download/Install: https://pyscenedetect.read

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Alibi is an open source Python library aimed at machine learning model inspection and interpretation. The initial focus on the library is on black-box, instance based model explanations. Documentation If you're

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陈少萌萌哒
Reproduce MTCNN using Tensorflow

AITTSMD/MTCNN-Tensorflow

Description This work is used for reproduce MTCNN,a Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks. Prerequisites You need CUDA-compatible GPUs to train the model. You should

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Note on the top: the project is unmaintained. Transformer-based dialog models work better and we recommend using them instead of RNN-based CakeChat. See, for example https://github.com/microsoft/DialoGPT CakeChat: Emotional Ge

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Raster Vision is an open source Python framework for building computer vision models on satellite, aerial, and other large imagery sets (including oblique drone imagery). It allows users (who don't need to be experts in

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SphereFace: Deep Hypersphere Embedding for Face Recognition By Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj and Le Song License SphereFace is released under the MIT License (refer to the LICENSE file for

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Hyperparameter Optimization for Keras Talos • Key Features • Examples • Install • Support • Docs • Issues • License • Download Talos radically changes the ordinary Keras workflow by fully automating

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FrankMocap pursues an easy-to-use single view 3D motion capture system developed by Facebook AI Research (FAIR). FrankMocap provides state-of-the-art 3D pose estimation outputs for body, hand, and body+hands in a single system

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Karate Club is an unsupervised machine learning extension library for NetworkX. Please look at the Documentation, relevant Paper, and External Resources. Karate Club consists of state-of-the-art methods to do unsupervised lear

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Poincaré Embeddings for Learning Hierarchical Representations PyTorch implementation of Poincaré Embeddings for Learning Hierarchical Representations Example: Embedding WordNet Mammals To embed the transit

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ALPR in Unscontrained Scenarios Introduction This repository contains the author's implementation of ECCV 2018 paper "License Plate Detection and Recognition in Unconstrained Scenarios". Paper webpage: http://sergi

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NVIDIA Corporation
Nvidia Semantic Segmentation monorepo

NVIDIA/semantic-segmentation

Pytorch implementation of our paper Hierarchical Multi-Scale Attention for Semantic Segmentation.

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Deep Learning Specialization on Coursera Master Deep Learning, and Break into AI This is my personal projects for the course. The course covers deep learning from begginer level to advanced. Highly recommend anyone wan

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Awesome Deep Learning Resources This is a rough list of my favorite deep learning resources. It has been useful to me for learning how to do deep learning, I use it for revisiting topics or for reference. I (Guillaume Chevalier)

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DeepIE: Deep Learning for Information Extraction

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Yongcheng Jing
:pencil2: Neural Style Transfer: A Review

ycjing/Neural-Style-Transfer-Papers

Neural-Style-Transfer-Papers Selected papers, corresponding codes and pre-trained models in our review paper "Neural Style Transfer: A Review" [arXiv Version] [IEEE Version] The corresponding OSF repository can be found at: htt

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SupContrast: Supervised Contrastive Learning This repo covers an reference implementation for the following papers in PyTorch, using CIFAR as an illustrative example: (1) Supervised Contrastive Learning. Paper (2) A Simple Fr

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ChainerCV: a Library for Deep Learning in Computer Vision ChainerCV is a collection of tools to train and run neural networks for computer vision tasks using Chainer. You can find the documentation here. Supported tasks:

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The Minkowski Engine is an auto-differentiation library for sparse tensors. It supports all standard neural network layers such as convolution, pooling, unpooling, and broadcasting operations for sparse tensors

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txtai builds an AI-powered index over sections of text. txtai supports building text indices to perform similarity searches and create extractive question-answering based systems.

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Spearmint Spearmint is a software package to perform Bayesian optimization. The Software is designed to automatically run experiments (thus the code n

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情感分析旨在自动识别和提取文本中的倾向、立场、评价、观点等主观信息。它包含各式各样的任务,比如句子级情感分类、评价对象级情感分类、观点抽取、情绪分类等

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3D U-Net Convolution Neural Network with Keras Background Originally designed after this paper on volumetric segmentation with a 3D U-Net. The code was written to be trained using the BRATS data set for brain tumors,

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Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。

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null
Applied Deep Learning

maziarraissi/Applied-Deep-Learning

This is a two-semester-long course primarily designed for graduate students.

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Generative Adversarial Notebooks Collection of my Generative Adversarial Network implementations Most codes are for python3, most notebooks works on CycleGAN CycleGAN-lasagne CycleGAN-keras

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Long Chen
YOLOv2 in PyTorch

longcw/yolo2-pytorch

YOLOv2 in PyTorch NOTE: This project is no longer maintained and may not compatible with the newest pytorch (after 0.4.0). This is a PyTorch implementation of YOLOv2. This project is mainly based on darkflow and darknet. I used

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The tensorflow-haskell package provides Haskell bindings to TensorFlow. This is not an official Google product. Documentation https://tensorflow.github.io/haskell/haddock/ TensorFlow.Core is a good place to start.

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Nick McCullum
Algorithmic Trading in Python

nickmccullum/algorithmic-trading-python

The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python

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Unsupervised Machine Translation This repository contains the original implementation of the unsupervised PBSMT and NMT models presented in Phrase-Based & Neural Unsupervised Machine Translation (EMNLP 2018). The NMT

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CelebAMask-HQ [Paper] [Demo] CelebAMask-HQ is a large-scale face image dataset that has 30,000 high-resolution face images selected from the CelebA dataset by following CelebA-HQ. Each image has segmentation mask of facial att

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Fast AutoAugment (Accepted at NeurIPS 2019) Official Fast AutoAugment implementation in PyTorch. Fast AutoAugment learns augmentation policies using a more efficient search strategy based on density matching. Fast AutoAugme

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Features • Wiki • Getting Started • Issues • License COCO Annotator is a web-based image annotation tool designed for versatility and efficiently label images to create training data for image localization and

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Classification on CIFAR-10/100 and ImageNet with PyTorch.

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TensorFlow Addons is a repository of contributions that conform to well-established API patterns, but implement new functionality not available in core TensorFlow.

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ML Visuals is a new collaborative effort to help the machine learning community in improving science communication by providing free professional, compelling and adequate visuals and figures. You are free to use the visuals in your presentations or blog posts. You don’t need to ask permission to use any of the visuals but it will be nice if you can provide credit to the designer/author (author information found in the slide notes). Check out the versions of the visuals below.

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List of papers, code and experiments using deep learning for time series forecasting

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Advisor Introduction Advisor is the hyper parameters tuning system for black box optimization. It is the open-source implementation of Google Vizier with these features. Easy to use with API, SDK, WEB and CLI

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OpenAI
Code for "Learning to Generate Reviews and Discovering Sentiment"

openai/generating-reviews-discovering-sentiment

Status: Archive (code is provided as-is, no updates expected) Generating Reviews and Discovering Sentiment Code for Learning to Generate Reviews and Discovering Sentiment (Alec Radford, Rafal Jozefowicz, Ilya Sutskever). Right

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PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"

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OpenSeq2Seq: sequence to sequence learning This is a research project, not an official NVIDIA product. Features Sequence to sequence learning Different cell types: LSTM, GRU, GLSTM, SLSTM Encoders: RNN-

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anaGo anaGo is a Python library for sequence labeling(NER, PoS Tagging,...), implemented in Keras. anaGo can solve sequence labeling tasks such as named entity recognition (NER), part-of-speech tagging (POS tagging), semantic

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QNNPACK QNNPACK (Quantized Neural Networks PACKage) is a mobile-optimized library for low-precision high-performance neural network inference. QNNPACK provides implementation of common neural network operators on quantized 8-bit

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Kevin Markham
:robot::zap: Daily scikit-learn tips

justmarkham/scikit-learn-tips

? ⚡ Daily scikit-learn tips New tips are posted on LinkedIn, Twitter, and Facebook every weekday! ? Sign up to receive 5 tips by email every week ? List of all tips Click to view the Ju

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[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

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Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

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DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks 1. Overview [paper] [project webpage] [enhancing RAW photos] The provided code implements the paper that presents an end-to-end deep learning

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(Generic) EfficientNets for PyTorch A 'generic' implementation of EfficientNet, MixNet, MobileNetV3, etc. that covers most of the compute/parameter efficient architectures derived from the MobileNet V1/V2 block sequence, includin

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Theme Status Latest Release Python Version master Branch Build develop Branch Build Documentation Build

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Dev
A very simple generative adversarial network (GAN) in PyTorch

devnag/pytorch-generative-adversarial-networks

Generative Adversarial Networks (GANs) in PyTorch Introduction See https://medium.com/@devnag/generative-adversarial-networks-gans-in-50-lines-of-code-pytorch-e81b79659e3f#.sch4xgsa9 for the relevant blog post.

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Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

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An adblocker for live radio streams and podcasts. Machine learning meets Shazam.

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python-recsys A python library for implementing a recommender system. Installation Dependencies python-recsys is build on top of Divisi2, with csc-pysparse (Divisi2 also requires NumPy, and uses Network

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这是一个YoloV4-pytorch的源码,可以用于训练自己的模型。

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MAgent is a research platform for many-agent reinforcement learning. Unlike previous research platforms that focus on reinforcement learning research with a single agent or only few agents, MAgent aims at supporting reinforcemen

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europilot Overview Europilot is an open source project that leverages the popular Euro Truck Simulator(ETS2) to develop self-driving algorithms. A convolutional neural network (CNN) controls the steering wheel ins

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Pytorch original implementation of TransCoder in Unsupervised Translation of Programming Languages

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SECOND for KITTI/NuScenes object detection

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Classy Vision is a new end-to-end, PyTorch-based framework for large-scale training of state-of-the-art image and video classification models. Previous computer vision (CV) libraries have been focused on providing components for

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Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

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The Gramps Project ( https://gramps-project.org ) We strive to produce a genealogy program that is both intuitive for hobbyists and feature-complete f

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Roadmap to becoming a machine learning engineer in 2020, inspired by web-developer-roadmap.

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Bobby Chen
YOLO & RCNN Object Detection and Multi-Object Tracking

yehengchen/Object-Detection-and-Tracking

YOLO & RCNN Object Detection and Multi-Object Tracking

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uTensor - Test Release Note: If you are looking for stable releases, checkout master. Release Note Updated uTensor ReadMe Updated uTensor-CLI ReadMe ROM Tensor support Introduction What

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UIS-RNN Overview This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm. UIS-RNN solves the problem of segmenting and clustering sequential data by learning from ex

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Command line tool for PostgreSQL server activity monitoring. Installation pg_activity is available in many Linux distributions; the PostgreSQL Global

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David Clark
Collected dispatches from The Quest for Scalable CSS

davidtheclark/scalable-css-reading-list

A Scalable CSS Reading List A list of things to read or watch that address these two questions: What is scalable CSS? and How do we create scalable CS

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? State-of-the-Art Conversational AI with Transfer Learning

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Azat Mardan
You Don't Know Node.js

azat-co/you-dont-know-node

footer: © Node.University, 2018 theme: Simple slidenumbers: true build-lists: true [.hide-footer] [.slidenumbers: false] You Don't Know Node, v2 Quick

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Computer Vision and Geometry Lab
hloc - the hierarchical localization toolbox

cvg/Hierarchical-Localization/

This is hloc, a modular toolbox for state-of-the-art 6-DoF visual localization. It implements Hierarchical Localization, leveraging image retrieval and feature matching, and is fast, accurate, and scalable.

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pytorch-seq2seq Documentation This is a framework for sequence-to-sequence (seq2seq) models implemented in PyTorch. The framework has modularized and extensible components for seq2seq models, training and inference, checkpoin

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CyberBattleSim is an experimentation research platform to investigate the interaction of automated agents operating in a simulated abstract enterprise network environment.

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ModelDB: An open-source system for Machine Learning model versioning, metadata, and experiment management. Quickstart · Workflow · Examples · Contribute · Support (Slack)

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garage garage is a toolkit for developing and evaluating reinforcement learning algorithms, and an accompanying library of state-of-the-art implementations built using that toolkit. The toolkit provides wide range of modul

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null
Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose

Daniil-Osokin/lightweight-human-pose-estimation.pytorch

Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

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OpenDataCam 3.0.0-beta.2 – An open source tool to quantify the world OpenDataCam is an open source tool to quantify the world. It quantifies and tracks moving objects with live video analysis. It is designed to be an accessible,

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Martin Krasser
Notebooks about Bayesian methods for machine learning

krasserm/bayesian-machine-learning

Bayesian machine learning notebooks This repository is a collection of notebooks about Bayesian Machine Learning. The following links display the notebooks via nbviewer to ensure a proper rendering of formulas. Update: PyMC3 and

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Anime2Sketch: A sketch extractor for illustration, anime art, manga

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Huw Campbell
Deep Learning in Haskell

HuwCampbell/grenade

Grenade First shalt thou take out the Holy Pin, then shalt thou count to three, no more, no less. Three shall be the number thou shalt count, and the number of the counting shall be three. Four shalt thou not count, neither c

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Daniel Martinez Formoso
A mindmap summarising Deep Learning concepts.

dformoso/deeplearning-mindmap

A mindmap summarising Deep Learning concepts.

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TDB *Note: This project is no longer actively being maintained. Please check out the official tfdbg debugger TensorDebugger (TDB) is a visual debugger for deep learning. It extends TensorFlow (Google's Deep Learning framework) w

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What's new We have recently released ThunderGBM, a fast GBDT and Random Forest library on GPUs. add scikit-learn interface, see here Overview The mission of ThunderSVM is to help users easil

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MLReef is an open source ML-Ops platform that helps you collaborate, reproduce and share your Machine Learning work

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Deep Clustering for Unsupervised Learning of Visual Features

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POT: Python Optimal Transport This open source Python library provide several solvers for optimization problems related to Optimal Transport for signal, image processing and machine learning. Website and documentation: h

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AIAlpha: Multilayer neural network architecture for stock return prediction This project is meant to be an advanced implementation of stacked neural networks to predict the return of stocks. My goal for the viewer is to unde

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Habitat-Sim A flexible, high-performance 3D simulator with configurable agents, multiple sensors, and generic 3D dataset handling (with built-in support for SUNCG, MatterPort3D, Gibson and other datasets). When rend

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DeepAA This is convolutional neural networks generating ASCII art. This repository is under construction. This work is accepted by NIPS 2017 Workshop, Machine Learning for Creativity and Design The paper: ASCII Art Synthesis wit

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Architecture & features | Ecosystem | Release notes | Documentation | Contribution guide Quick start To begin using nGraph with popular frameworks, please refer to the links below. Fram

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TensorFlow Quantum (TFQ) is a Python framework for hybrid quantum-classical machine learning that is primarily focused on modeling quantum data. TFQ is an application framework developed to allow quantum algorithms researchers and machi

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Deep Hough Voting for 3D Object Detection in Point Clouds Created by Charles R. Qi, Or Litany, Kaiming He and Leonidas Guibas from Facebook AI Research and Stanford University. Introduction This repository is code r

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MultiPath Network training code The code provides functionality to train Fast R-CNN and MultiPath Networks in Torch-7. Corresponding paper: A MultiPath Network for Object Detection http://arxiv.org/abs/1604.02135 If you use Mu

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Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set

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Graph Auto-Encoders This is a TensorFlow implementation of the (Variational) Graph Auto-Encoder model as described in our paper: T. N. Kipf, M. Welling, Variational Graph Auto-Encoders, NIPS Workshop on Bayesian Deep Learning (2

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Awesome Pruning A curated list of neural network pruning and related resources. Inspired by awesome-deep-vision, awesome-adversarial-machine-learning, awesome-deep-learning-papers and Awesome-NAS. Please feel free to pull reque

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Predict stock market prices using RNN Check my blog post "Predict Stock Prices Using RNN": Part 1 and Part 2 for the tutorial associated. One thing I would like to emphasize that because my motivation is more on demonstrating ho

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Petastorm Contents Petastorm Installation Generating a dataset Plain Python API Tensorflow API Pytorch API Spark Dataset Converter API Analyzing petastorm datasets usin

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