Python Deep Learning

Minimal and clean examples of reinforcement learning algorithms presented by RLCode team. [한국어] Maintainers - Woongwon, Youngmoo, Hyeokreal, Uiryeong, Keon From the basics to deep reinforcement learning, this repo provides easy-

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Easy-TensorFlow
Simple and comprehensive tutorials in TensorFlow

easy-tensorflow/easy-tensorflow

Easy-TensorFlow The goal of this repository is to provide comprehensive tutorials for TensorFlow while maintaining the simplicity of the code. Each tutorial includes a detailed explanation (written in .ipynb) fo

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Valerio Maggio
Introduction to Deep Neural Networks with Keras and Tensorflow

leriomaggio/deep-learning-keras-tensorflow

Deep Learning with Keras and Tensorflow Author: Valerio Maggio PostDoc Data Scientist @ FBK/MPBA Contacts: @leriomaggio +Vale

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Status: Archive (code is provided as-is, no updates expected) Glow Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions" To use pretrained CelebA-HQ model, make your own manipulation vectors a

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Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

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Squeeze-and-Excitation Networks

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FCOS: Fully Convolutional One-Stage Object Detection This project hosts the code for implementing the FCOS algorithm for object detection, as presented in our paper: FCOS: Fully Convolutional One-Stage Object Detection; Zhi Tian

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Google Research
Check out the new game server:

google-research/football

Google Research Football This repository contains an RL environment based on open-source game Gameplay Football. It was created by the Google Brain team for research purposes. Useful links: (NEW!) GRF Tournament - take part

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PyTorch VAE A collection of Variational AutoEncoders (VAEs) implemented in pytorch with focus on reproducibility. The aim of this project is to provide a quick and simple working example for many of the cool VAE mode

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Saumitro Dasgupta
Caffe models in TensorFlow

ethereon/caffe-tensorflow

Caffe to TensorFlow Convert Caffe models to TensorFlow. Usage Run convert.py to convert an existing Caffe model to TensorFlow. Make sure you're using the latest Caffe format (see the notes section for more info). Th

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Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research Documentation | Paper Kaolin is an active work-in-progress, we are working toward a stable beta release. Please Watch our github repository for releases

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Junho Kim
Simple Tensorflow Cookbook for easy-to-use

taki0112/Tensorflow-Cookbook

Web page Tensorflow 2 Cookbook Contributions In now, this repo contains general architectures and functions that are useful for the GAN and classificstion. I will continue to add useful things to oth

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Deep Q&A Table of Contents Presentation Installation Running Chatbot Web interface Results Pretrained model Improvements Upgrade Presentation This work tries to repro

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We have merged BasicSR into MMSR ? MMSR is an open source image and video super-resolution toolbox based on PyTorch. It is a part of the open-mmlab project developed by Multimedia Laboratory, CUHK. MMSR is based on our pr

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Catalyst-Team
Accelerated DL R&D

catalyst-team/catalyst

Accelerated DL R&D PyTorch framework for Deep Learning research and development. It was developed with a focus on reproducibility, fast experimentation and code/ideas reusing. Being able to research/develop s

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PyBrain -- the Python Machine Learning Library

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Use this instead: https://github.com/facebookresearch/maskrcnn-benchmark A Pytorch Implementation of Detectron Example output of e2e_mask_rcnn-R-101-FPN_2x using Detectron pretrained weight. Corresponding example o

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EAST: An Efficient and Accurate Scene Text Detector Introduction This is a tensorflow re-implementation of EAST: An Efficient and Accurate Scene Text Detector. The features are summarized blow: Online demo

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Please consider citing the JMLR-MLOSS Manuscript if you've used pomegranate in your academic work! pomegranate is a package for probabilistic models in Python that is implemented in cython for speed. It's focus is on merging the eas

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Layout Parser is deep learning based tool for document image layout analysis tasks.

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Note: deepjazz is no longer being actively developed. It may be refactored at some point in the future. Goodbye and thank you for your interest ? Using Keras & Theano for deep learning driven jazz generation I bu

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SimCLR - A Simple Framework for Contrastive Learning of Visual Representations

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A Deep Learning NLP/NLU library by Intel® AI Lab Overview | Models | Installation | Examples | Documentation | Tutorials | Contributing NLP Architect is an open source Python library for expl

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DeepNLP-models-Pytorch Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ: NLP with Deep Learning) This is not for Pytorch beginners. If it is your first time to use Pytorch, I recommend these awesom

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PLMpapers Contributed by Xiaozhi Wang and Zhengyan Zhang. Introduction Pre-trained Languge Model (PLM) is a very popular topic in NLP. In this repo, we list some representative work on PLM and show their relationship

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Reading list for research topics in multimodal machine learning

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Automatic-Speech-Recognition End-to-end automatic speech recognition system implemented in TensorFlow. Recent Updates Support TensorFlow r1.0 (2017-02-24) Support dropout for dynamic rnn (2017-03-11) Support

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Technical Analysis Library in Python It is a Technical Analysis library to financial time series datasets (open, close, high, low, volume). You can use it to do feature engineering from financial datasets. It is built on P

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StarGAN v2 - Official PyTorch Implementation StarGAN v2: Diverse Image Synthesis for Multiple Domains Yunjey Choi*, Youngjung Uh*, Jaejun Yoo*, Jung-Woo Ha In CVPR 2020. (* indicates equal contribution) Paper: https://arxiv.

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Package based on the work of Dr Marcos Lopez de Prado regarding his research with respect to Advances in Financial Machine Learning

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A collection of stock market resources and tools

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Code for the paper Music Source Separation in the Waveform Domain

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uncaptcha Defeating Google's audio reCaptcha system with 85% accuracy. Disclaimer unCaptcha is intended to be a proof of concept. As of the time of our paper, we found it to successfully solve reCaptcha's audio chall

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Hummingbird is a library for compiling trained traditional ML models into tensor computations. Hummingbird allows users to seamlessly leverage neural network frameworks (such as PyTorch) to accelerate traditional ML models.

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Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference

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Pylearn2: A machine learning research library Warning : This project does not have any current developer. We will continue to review pull requests and merge them when appropriate, but do not expect new development unless some

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3D human pose estimation in video with temporal convolutions and semi-supervised training This is the implementation of the approach described in the paper: Dario Pavllo, Christoph Feichtenhofer, David Grangier, and

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Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python Repository for the book Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applicat

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Simple StyleGan2 for Pytorch Simple working Pytorch implementation of Stylegan2 based on https://arxiv.org/abs/1912.04958 Below are some flowers that do not exist. Neither do these hands Install You will nee

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TensorFlow Internals. It is open source ebook about TensorFlow kernel and implementation mechanism, including programming model, computation graph, distributed training for machine learning. Downloads You can obtain f

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Feast - Feature Store for Machine Learning Overview Feast (Feature Store) is a tool for managing and serving machine learning features. Feast is the bridge between models and data. Feast aims to: Provide a un

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Medical Open Network for AI MONAI is a PyTorch-based, open-source framework for deep learning in healthcare imaging. Its ambitions are: developing a community of academic, industrial and clinical researchers collaborating on

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DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

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PocketFlow PocketFlow is an open-source framework for compressing and accelerating deep learning models with minimal human effort. Deep learning is widely used in various areas, such as computer vision, speech recognition, and na

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MMSR MMSR is an open source image and video super-resolution toolbox based on PyTorch. It is a part of the open-mmlab project developed by Multimedia Laboratory, CUHK. MMSR is based on our previous projects: BasicSR, ESRGAN, and

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腾讯优图高精度双分支人脸检测器

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pytorch-a2c-ppo-acktr Please use hyper parameters from this readme. With other hyper parameters things might not work (it's RL after all)! This is a PyTorch implementation of Advantage Actor Critic (A2C), a synchro

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www.deeplabcut.org DeepLabCut is a toolbox for markerless pose estimation of animals performing various tasks. Read a short development and application summary below. Installation: how to install DeepLabCu

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SORT A simple online and realtime tracking algorithm for 2D multiple object tracking in video sequences. See an example video here. By Alex Bewley Introduction SORT is a barebones implementation of a visual multiple

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SNIPER / AutoFocus: Efficient Multi-Scale Training / Inference SNIPER is an efficient multi-scale training approach for instance-level recognition tasks like object detection and instance-level segmentation. Instead of proces

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Super Resolution Examples We run this script under TensorFlow 2.0 and the TensorLayer 2.0+. For TensorLayer 1.4 version, please check release. ? ? ? ? ? ? THIS PROJECT WILL BE CLOSED AN

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DeepRL If you have any question or want to report a bug, please open an issue instead of emailing me directly. Modularized implementation of popular deep RL algorithms by PyTorch. Easy switch between toy tasks and challengi

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PyTorch4 tutorial of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

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A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4

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DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

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dm_control: The DeepMind Control Suite and Control Package This package contains: A set of Python Reinforcement Learning environments powered by the MuJoCo physics engine. See the suite subdirectory. Librarie

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A collection of delicious docker recipes

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Spotlight uses PyTorch to build both deep and shallow recommender models. By providing both a slew of building blocks for loss functions (various pointwise and pairwise ranking losses), representations (shallow

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Gerapy Distributed Crawler Management Framework Based on Scrapy, Scrapyd, Scrapyd-Client, Scrapyd-API, Django and Vue.js. Support Gerapy is developed over Python 3.x. Python 2.x will be supported later. Usa

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Face Recognition Using Pytorch Python 3.7 3.6 3.5 Status This is a repository for Inception Resnet (V1) models in pytorch, pretrained on VGGFace2 and CASIA-We

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Cloud Annotations
Custom Object Detection and Classification Training

cloud-annotations/cloud-annotations

Cloud Annotations ? IMPORTANT ? The NPM version of cacli is officially no longer supported. Please use the new installation instructions below. Before you begin The Cloud Annotations CLI

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Confluent Inc.
Confluent's Kafka Python Client

confluentinc/confluent-kafka-python

Confluent's Python Client for Apache KafkaTM confluent-kafka-python provides a high-level Producer, Consumer and AdminClient compatible with all Apache KafkaTM brokers >= v0.8, Confluent Cloud and the Confluent Platform. The c

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YAD2K: Yet Another Darknet 2 Keras

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AdelaiDet AdelaiDet is an open source toolbox for multiple instance-level recognition tasks on top of Detectron2. All instance-level recognition works from our group are open-sourced here. To date, AdelaiDet implements the follo

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AdelaiDet AdelaiDet is an open source toolbox for multiple instance-level recognition tasks on top of Detectron2. All instance-level recognition works from our group are open-sourced here. To date, AdelaiDet implements the follo

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Tacotron An implementation of Tacotron speech synthesis in TensorFlow. Audio Samples Audio Samples from models trained using this repo. The first set was trained for 441K steps on the LJ Speech Dataset

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A collection of loss functions for medical image segmentation

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TextDistance TextDistance -- python library for comparing distance between two or more sequences by many algorithms. Features: 30+ algorithms Pure python implementation Simple usage More than two sequences comp

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TensorFlow Graphics The last few years have seen a rise in novel differentiable graphics layers which can be inserted in neural network architectures. From spatial transformers to differentiable graphics renderers, these new

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AlphaZero-Gomoku This is an implementation of the AlphaZero algorithm for playing the simple board game Gomoku (also called Gobang or Five in a Row) from pure self-play training. The game Gomoku is much simpler than Go or chess,

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Siamese and triplet learning with online pair/triplet mining PyTorch implementation of siamese and triplet networks for learning embeddings. Siamese and triplet networks are useful to learn mappings from image to a compact Eucli

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Awesome Haskell An auxiliary list of awesome Haskell links, frameworks, libraries and software. The part of the awesome projects line. Awesome Haskell

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Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

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PyPortfolioOpt is a library that implements portfolio optimisation methods, including classical mean-variance optimisation techniques and Black-Litterman allocation, as well as mo

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Handtrack.js View a live demo in your browser here. Handtrack.js is a library for prototyping realtime hand detection (bounding box), directly in the browser. Underneath, it uses a trained convolutional neural network

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ONNX Tutorials Open Neural Network Exchange (ONNX) is an open standard format for representing machine learning models. ONNX is supported by a community of partners who have implemented it in many frameworks and tools. These ima

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DQN Adventure: from Zero to State of the Art This is easy-to-follow step-by-step Deep Q Learning tutorial with clean readable code. The deep reinforcement learning community has made several independent improvements to the DQN

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null
Pandas integration with sklearn

scikit-learn-contrib/sklearn-pandas

Sklearn-pandas This module provides a bridge between Scikit-Learn's machine learning methods and pandas-style Data Frames. In particular, it provides: A way to map DataFrame columns to transformations, which are later reco

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Efficient Neural Architecture Search (ENAS) in PyTorch PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing. ENAS reduce the computational requirement (GPU-hours) of Neural Architecture Search

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The project is official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking

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This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

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Acme is a library of reinforcement learning (RL) agents and agent building blocks. Acme strives to expose simple, efficient, and readable agents, that serve both as reference implementations of popular algorithms and as strong baselines, while still providing enough flexibility to do novel research

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BigGAN-PyTorch The author's officially unofficial PyTorch BigGAN implementation. This repo contains code for 4-8 GPU training of BigGANs from Large Scale GAN Training for High Fidelity Natural Image Synthesis by Andrew Brock,

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pytorch-deeplab-xception Update on 2018/12/06. Provide model trained on VOC and SBD datasets. Update on 2018/11/24. Release newest version code, which fix some previous issues and also add support for new backbones and multi-gpu

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Awesome JavaFX A curated list of awesome JavaFX frameworks, libraries, books etc... . Contents Libraries, Tools and Projects Frameworks Books Blogs an

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✨ NeuralCoref 4.0: Coreference Resolution in spaCy with Neural Networks. NeuralCoref is a pipeline extension for spaCy 2.1+ which annotates and resolves coreference clusters using a neural network. NeuralCoref is production

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Quant-trading Intro We’re right 50.75 percent of the time... but we’re 100 percent right 50.75 percent of the time, you can make billions that way. --- Robert Mercer, co-CEO of Renaissance Technologies

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Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet)

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A unified Data Analytics and AI platform for distributed TensorFlow, Keras, PyTorch, Apache Spark/Flink and Ray What is Analytics Zoo? Analytics Zoo provides a unified data analytics and AI platform that seamlessly u

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Keras
Hyperparameter tuning for humans

keras-team/keras-tuner

An hyperparameter tuner for Keras.

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Amazon Web Services - Labs
Pandas on AWS

awslabs/aws-data-wrangler

Pandas on AWS

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AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

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Differentiable Neural Computer (DNC) This package provides an implementation of the Differentiable Neural Computer, as published in Nature. Any publication that discloses findings arising from using this source code must cite “H

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RAdam On the Variance of the Adaptive Learning Rate and Beyond We are in an early-release beta. Expect some adventures and rough edges. Table of Contents Introduction Motivation Questions and Disc

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Karanbir Chahal
"Don't code your UI, Draw it !"

karanchahal/DoodleMaster

Doodle Master The Doodle Master seeks to turn your UI mockups into real code. Currently this repository just serves to demonstrate a Proof Of Concept of Artificially Intelligent Design Tools. The demo supports the detection of 4

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Naked Tensor This is a bare bones example of TensorFlow, a machine learning package published by Google. You will not find a simpler introduction to it. In each example, a straight line is fit to some data. Values for the slope

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Convolutional neural networks for computer vision This repo is used to research convolutional networks for task of computer vision. For this purpose, the repo contains (re)implementations of various classification, segmentati

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CapsNet-Keras A Keras implementation of CapsNet in the paper: Sara Sabour, Nicholas Frosst, Geoffrey E Hinton. Dynamic Routing Between Capsules. NIPS 2017 The current average test error = 0.34% and best test error = 0.30%. Dif

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This is a PyTorch Tutorial to Object Detection. This is the third in a series of tutorials I'm writing about implementing cool models on your own with the amazing PyTorch library. Basic knowledge of PyTorch, convolutional neural networks

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Thinc: A refreshing functional take on deep learning, compatible with your favorite libraries From the makers of spaCy, Prodigy and FastAPI Thinc is a lightweight deep learning library that offers an elegant

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