Top deep learning repositories on Github!


11 Jul 2018views: 456


blog cover image

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 is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. Learning can be supervised, semi-supervised or unsupervised.

The "deep" in "deep learning" refers to the number of layers through which the data is transformed. Deep learning models are inspired by information processing and communication patterns in biological nervous systems yet have various differences from the structural and functional properties of biological brains.

Deep Learning is a vast field and cannot be understood without proper time investment into the field as one have to learn many theory maths and algorithms. The true power of Deep Learning lies in the Learning or Training process. To get started here is the top frameworks and projects regarding Deep Learning on GitHub.

Here's a list of top 180 deep learning Github repositories sorted by the number of stars and popularity.

1: tensorflow

Computation using data flow graphs for scalable machine learning. TensorFlow is an open source software library for numerical computation using data flow graphs. The graph nodes represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture enables you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device without rewriting code.


  • 104,749
  • 8,155


2: keras

Deep Learning for humans. Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research.


  • 31,472
  • 1,760


3: opencv

Open Source Computer Vision Library. OpenCV (Open Source Computer Vision Library) is released under a BSD license and hence it’s free for both academic and commercial use. It has C++, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android. OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.


  • 26,070
  • 2,156


4: caffe

Caffe: a fast open framework for deep learning. Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license.


  • 24,812
  • 2,201


5: TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs


  • 23,456
  • 1,648


6: machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.


  • 19,188
  • 1,363


7: deeplearningbook-chinese

Deep Learning Book Chinese Translation


  • 18,657
  • 1,861


8: Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!


  • 18,085
  • 18,085


9: pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration. PyTorch is a Python package that provides two high-level features: Tensor computation (like NumPy) with strong GPU acceleration Deep neural networks built on a tape-based autograd system. You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed.


  • 17,023
  • 898


10: awesome-deep-learning-papers

The most cited deep learning papers


  • 15,362
  • 15,362


11: Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet. Detectron is Facebook AI Research's software system that implements state-of-the-art object detection algorithms, including Mask R-CNN. It is written in Python and powered by the Caffe2 deep learning framework. The goal of Detectron is to provide a high-quality, high-performance codebase for object detection research. It is designed to be flexible in order to support rapid implementation and evaluation of novel research.


  • 15,127
  • 15,127


12: CNTK

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit


  • 14,789
  • 1,351


13: incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more


  • 14,460
  • 1,151


14: data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.


  • 13,107
  • 13,107


15: lectures

Oxford Deep NLP 2017 course


  • 12,141
  • 12,141


16: Qix

Machine LearningDeep LearningPostgreSQLDistributed SystemNode.JsGolang


  • 11,362
  • 1,815


17: Screenshot-to-code-in-Keras

A neural network that transforms a screenshot into a static website


  • 10,411
  • 10,411


18: openface

Face recognition with deep neural networks.


  • 10,345
  • 697


19: cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers


  • 9,761
  • 934


20: spaCy

Industrial-strength Natural Language Processing (NLP) with Python and Cython


  • 9,826
  • 457


21: pix2code

pix2code: Generating Code from a Graphical User Interface Screenshot


  • 9,297
  • 9,297


22: convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.


  • 9,178
  • 9,178


23: deeplearning4j

Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark - From Skymind


  • 9,293
  • 811


24: awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.


  • 9,264
  • 9,264


25: ML-From-Scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.


  • 8,511
  • 8,511


26: dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn!


  • 8,393
  • 564


27: FastPhotoStyle

Style transfer, deep learning, feature transform


  • 8,365
  • 8,365


28: darknet

Convolutional Neural Networks


  • 8,581
  • 639


29: tflearn

Deep learning library featuring a higher-level API for TensorFlow.


  • 8,296
  • 467


30: neural-enhance

Super Resolution for images using deep learning.


  • 8,211
  • 8,211


31: awesome-datascience

An awesome Data Science repository to learn and apply for real world problems.


  • 8,232
  • 8,232


32: char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch


  • 8,172
  • 8,172


33: caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.


  • 8,141
  • 565


34: handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.


  • 8,319
  • 8,319


35: tfjs

A WebGL accelerated JavaScript library for training and deploying ML models.


  • 8,128
  • 260


36: tfjs-core

WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.


  • 7,708
  • 326


37: Machine-Learning-Tutorials

machine learning and deep learning tutorials, articles and other resources


  • 7,643
  • 681


38: openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, and hands estimation


  • 8,020
  • 8,020


39: EffectiveTensorflow

TensorFlow tutorials and best practices.


  • 7,418
  • 345


40: Paddle

PArallel Distributed Deep LEarning


  • 7,222
  • 613


41: DeepSpeech

A TensorFlow implementation of Baidu's DeepSpeech architecture


  • 7,239
  • 7,239


42: neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"


  • 7,116
  • 7,116


43: awesome-deep-vision

A curated list of deep learning resources for computer vision


  • 6,954
  • 6,954


44: turicreate

Turi Create simplifies the development of custom machine learning models.


  • 7,045
  • 7,045


45: MLAlgorithms

Minimal and clean examples of machine learning algorithms implementations


  • 6,835
  • 6,835


46: stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.


  • 6,679
  • 521


47: CycleGAN

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.


  • 6,599
  • 6,599


48: fast-style-transfer

TensorFlow CNN for fast style transfer


  • 6,271
  • 6,271


49: Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow


  • 6,569
  • 6,569


50: pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers


  • 6,393
  • 6,393


51: awesome-nlp

A curated list of resources dedicated to Natural Language Processing (NLP)


  • 6,189
  • 6,189


52: Swift-AI

The Swift machine learning library.


  • 5,385
  • 5,385


53: fastai

The fast.ai deep learning library, lessons, and tutorials


  • 5,783
  • 5,783


54: dlib

A toolkit for making real world machine learning and data analysis applications in C++


  • 5,304
  • 397


55: BossSensor

Hide screen when boss is approaching.


  • 4,993
  • 266


56: awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN


  • 4,934
  • 4,934


57: pix2pix

Image-to-image translation with conditional adversarial nets


  • 4,970
  • 235


58: srez

Image super-resolution through deep learning


  • 4,824
  • 4,824


59: facenet

Face recognition using Tensorflow


  • 5,124
  • 5,124


60: neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.


  • 4,753
  • 4,753


61: TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos


  • 4,664
  • 4,664


62: py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen /faster_rcnn for the official MATLAB version


  • 4,492
  • 4,492


63: faster_rcnn

Faster R-CNN


  • 1,728
  • 1,728


64: DeepLearningFlappyBird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).


  • 4,428
  • 4,428


65: TopDeepLearning

A list of popular github projects related to deep learning


  • 4,279
  • 4,279


66: pytorch-CycleGAN-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)


  • 4,568
  • 4,568


67: tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.


  • 4,428
  • 4,428


68: tiny-dnn

header only, dependency-free deep learning framework in C++14


  • 4,247
  • 318


69: amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models


  • 4,157
  • 4,157


70: keras-js

Run Keras models in the browser, with GPU support using WebGL


  • 4,194
  • 174


71: neurojs

A javascript deep learning and reinforcement learning library.


  • 4,113
  • 166


72: ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform


  • 4,139
  • 4,139


73: deepo

A series of Docker images (and their generator) that allows you to quickly set up your deep learning research environment.


  • 4,009
  • 161


74: paddle-mobile

This research aims at simply deploying deeplearning on mobile and embedded devices, with low complexity and high speed. old name mobile deep learning.


  • 3,951
  • 3,951


75: tensorlayer

Efficient Deep Learning Development


  • 4,072
  • 437


76: conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning


  • 4,103
  • 4,103


77: chainer

A flexible framework of neural networks for deep learning


  • 3,943
  • 320


78: awesome-artificial-intelligence

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers


  • 3,895
  • 3,895


79: TensorFlow-World

Simple and ready-to-use tutorials for TensorFlow


  • 3,842
  • 3,842


80: deep-residual-networks

Deep Residual Learning for Image Recognition


  • 3,916
  • 3,916


81: deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"


  • 3,789
  • 3,789


82: deep-learning-models

Keras code and weights files for popular deep learning models.


  • 3,757
  • 3,757


83: edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.


  • 3,694
  • 282


84: onnx

Open Neural Network Exchange


  • 3,820
  • 297


85: labelImg

LabelImg is a graphical image annotation tool and label object bounding boxes in images


  • 3,881
  • 210


86: neon

Intel Nervana reference deep learning framework committed to best performance on all hardware


  • 3,591
  • 354


87: fashion-mnist

A MNIST-like fashion product database. Benchmark


  • 3,643
  • 136


88: deeplearning-papernotes

Summaries and notes on Deep Learning research papers


  • 3,489
  • 3,489


89: machine-learning-mindmap

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.


  • 3,482
  • 3,482


90: ray

A high-performance distributed execution engine


  • 3,658
  • 3,658


91: cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow


  • 3,572
  • 3,572


92: DeepLearningTutorials

Deep Learning Tutorial notes and code. See the wiki for more info.


  • 3,426
  • 411


93: iOS-10-Sampler

Code examples for new APIs of iOS 10.


  • 3,307
  • 3,307


94: tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook


  • 3,373
  • 271


95: DIGITS

Deep Learning GPU Training System


  • 3,244
  • 331


96: skflow

Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning


  • 3,178
  • 3,178


97: ml-agents

Unity Machine Learning Agents Toolkit


  • 3,412
  • 364


98: h2o-3

Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)


  • 3,219
  • 357


99: darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices


  • 3,335
  • 3,335


100: mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville


  • 3,292
  • 3,292


101: DeepLearnToolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.


  • 3,010
  • 3,010


102: vrn

Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"


  • 3,059
  • 159


103: imgaug

Image augmentation for machine learning experiments.


  • 3,177
  • 145


104: dl-docker

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)


  • 2,933
  • 2,933


105: DeepLearningProject

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.


  • 2,878
  • 174


106: iGAN

Interactive Image Generation via Generative Adversarial Networks


  • 2,834
  • 2,834


107: face_classification

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.


  • 2,905
  • 2,905


108: horovod

Distributed training framework for TensorFlow, Keras, and PyTorch.


  • 3,075
  • 3,075


109: deep-learning-papers

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.


  • 2,677
  • 2,677


110: keras-rl

Deep Reinforcement Learning for Keras.


  • 2,755
  • 186


111: MachineLearning

Basic Machine Learning and Deep Learning


  • 2,638
  • 2,638


112: DenseNet

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


  • 2,677
  • 2,677


113: Realtime_Multi-Person_Pose_Estimation

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)


  • 2,681
  • 2,681


114: gluon-tutorials-zh

MXNet / Gluon


  • 2,666
  • 199


115: BigDL

BigDL: Distributed Deep Learning Library for Apache Spark


  • 2,557
  • 205


116: neural-storyteller

A recurrent neural network for generating little stories about images


  • 2,519
  • 2,519


117: the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.


  • 2,562
  • 2,562


118: DeepLearning

Deep Learning (Python, C, C++, Java, Scala, Go)


  • 2,462
  • 395


119: DeepLearningZeroToAll

TensorFlow Basic Tutorial Labs


  • 2,513
  • 297


120: easy-tensorflow

Simple and comprehensive tutorials in TensorFlow


  • 2,403
  • 92


121: allennlp

An open-source NLP research library, built on PyTorch.


  • 2,624
  • 143


122: tensorpack

A Neural Net Training Interface on TensorFlow


  • 2,404
  • 2,404


123: deep-learning

Repo for the Deep Learning Nanodegree Foundations program.


  • 2,340
  • 285


124: mlpack

mlpack: a scalable C++ machine learning library --


  • 2,268
  • 187


125: miles-deep

Deep Learning Porn Video Classifier/Editor with Caffe


  • 2,220
  • 2,220


126: gluon-api

A clear, concise, simple yet powerful and efficient API for deep learning.


  • 2,203
  • 2,203


127: keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library


  • 2,235
  • 2,235


128: deepjazz

Deep learning driven jazz generation using Keras & Theano!


  • 2,122
  • 107


129: text_classification

all kinds of text classificaiton models and more with deep learning


  • 2,291
  • 2,291


130: Tensorflow-Project-Template

A best practice for tensorflow project template architecture.


  • 2,146
  • 2,146


131: TensorFlow-and-DeepLearning-Tutorial

TensorFlow & Deep Learning Tutorial


  • 2,088
  • 2,088


132: deep-learning-book

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


  • 2,106
  • 2,106


133: Automatic_Speech_Recognition

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow


  • 2,113
  • 2,113


134: deepframeworks

Evaluation of Deep Learning Frameworks


  • 2,063
  • 2,063


135: deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.


  • 2,250
  • 2,250


136: Practical_RL

A course in reinforcement learning in the wild


  • 2,150
  • 2,150


137: deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow


  • 2,102
  • 2,102


138: stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial


  • 2,055
  • 229


139: char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow


  • 2,098
  • 2,098


140: dl-setup

Instructions for setting up the software on your deep learning machine


  • 2,005
  • 2,005


141: fast-rcnn

Fast R-CNN


  • 2,030
  • 2,030


142: pix2pixHD

Synthesizing and manipulating 2048x1024 images with conditional GANs


  • 2,105
  • 110


143: DeepVideoAnalytics

A distributed visual search and visual data analytics platform.


  • 2,014
  • 168


144: Augmentor

Image augmentation library in Python for machine learning.


  • 2,054
  • 85


145: gorgonia

Gorgonia is a library that helps facilitate machine learning in Go.


  • 1,994
  • 1,994


146: torch-rnn

Efficient, reusable RNNs and LSTMs for torch


  • 1,941
  • 1,941


147: tensorflow-tutorial

Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE


  • 1,924
  • 1,924


148: reinforcement-learning

Minimal and Clean Reinforcement Learning Examples


  • 1,937
  • 1,937


149: makegirlsmoe_web

Create Anime Characters with MakeGirlsMoe


  • 1,909
  • 91


150: DeepQA

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot


  • 1,959
  • 1,959


151: SSD-Tensorflow

Single Shot MultiBox Detector in TensorFlow


  • 2,015
  • 2,015


152: mxnet-the-straight-dope

An interactive book on deep learning. Much easy, so MXNet. Wow.


  • 1,931
  • 134


153: Keras-GAN

Keras implementations of Generative Adversarial Networks.


  • 2,106
  • 2,106


154: kcws

Deep Learning Chinese Word Segment


  • 1,837
  • 1,837


155: DL4NLP

Deep Learning for NLP resources


  • 1,839
  • 1,839


156: DeepPavlov

An open source library for deep learning end-to-end dialog systems and chatbots.


  • 1,892
  • 108


157: Tensorflow-Tutorial

Tensorflow tutorial from basic to hard


  • 1,880
  • 163


158: neural-style-tf

TensorFlow (Python API) implementation of Neural Style


  • 1,779
  • 1,779


159: Neural-Photo-Editor

A simple interface for editing natural photos with generative neural networks.


  • 1,722
  • 1,722


160: OpenNMT

Open Source Neural Machine Translation in Torch


  • 1,726
  • 132


161: tensorflow_poems

tensorflow1.4 apistar


  • 1,794
  • 1,794


162: tangent

Source-to-Source Debuggable Derivatives in Pure Python


  • 1,719
  • 1,719


163: MMdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.


  • 1,875
  • 1,875


164: ELF

An End-To-End, Lightweight and Flexible Platform for Game Research


  • 1,709
  • 1,709


165: Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.


  • 1,786
  • 1,786


166: faster_rcnn

Faster R-CNN


  • 1,728
  • 1,728


167: Deep-Learning-21-Examples

21TensorFlow


  • 1,809
  • 1,809


168: face-alignment

2D and 3D Face alignment library build using pytorch


  • 1,763
  • 98


169: text-to-image

Text to image synthesis using thought vectors


  • 1,675
  • 1,675


170: machine_learning_examples

A collection of machine learning examples and tutorials.


  • 1,746
  • 301


171: fold

Deep learning with dynamic computation graphs in TensorFlow


  • 1,637
  • 1,637


172: DQN-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning


  • 1,635
  • 1,635


173: simplified-deeplearning

Simplified implementations of deep learning related works


  • 1,653
  • 1,653


174: colorization

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.


  • 1,613
  • 95


175: VisualDL

A platform to visualize the deep learning process.


  • 1,692
  • 112


176: luminoth

Deep Learning toolkit for Computer Vision


  • 1,657
  • 117


177: tensorflow-speech-recognition

Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks


  • 1,619
  • 1,619


178: biaxial-rnn-music-composition

A recurrent neural network designed to generate classical music.


  • 1,590
  • 1,590


179: deepdetect

Deep Learning API and Server in C++11 with Python bindings and support for Caffe, Tensorflow, XGBoost and TSNE


  • 1,594
  • 136


180: interactive-deep-colorization

Deep learning software for colorizing black and white images with a few clicks.


  • 1,556
  • 96





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Om Prakash Mahato

Full stack developer, author, founder of TechConductor.


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