Computer Vision
- Dropbox_Imagenet-Classification-with-Deep-Convolutional-Neural-Networks
- Dropbox_Visualizing-and-Understanding-Convolutional-Networks
- Dropbox_Long-term-Recurrent-Convolutional-Networks-for-Visual-Recognition-and-Description
- Dropbox_One-weird-trick-for-parallelizing-convolutional-neural-networks
- Dropbox_Going-deeper-with-convolutions
- Dropbox_Deep-Residual-Learning-for-Image-Recognition
- Dropbox_Batch-Normalization-Accelerating-Deep-Network-Training-by-Reducing-Internal-Covariate-Shift
- Dropbox_Semi-supervised-Convolutional-Neural-Networks-for-Text-Categorization-via-Region-Embedding
- Dropbox_Show-and-Tell-A-Neural-Image-Caption-Generator
- Dropbox_Rethinking-the-Inception-Architecture-for-Computer-Vision-Inception-v3
- Dropbox_Very-Deep-Convolutional-Networks-For-Large-Scale-Image-Recognition
- Dropbox_Identity-Mappings-in-Deep-Residual-Networks
- Dropbox_Wide-Residual-Nets
- Dropbox_Dynamic-Routing-between-capsules
- Dropbox_Matrix-Capsules-with-EM-rounting
- Dropbox_Identity-Mappings-in-Deep-Residual-Networks
Natural Language Processing
- Dropbox_Deep-Almond-A-Deep-Learning-based-Virtual
- Dropbox_A_neural_conversational_model
- Dropbox_Memory_Networks
- Dropbox_Supervised-Sequence-Labelling-with-Recurrents
- Dropbox_The-Unreasonable-Effectiveness-of-Recurrent-Neural-Networks
- Dropbox_Deep-Learning-for-Textual-Big-Data-Analysis
- Dropbox_Sequence-to-Sequence-Learning
- Dropbox_On-the-Properties-of-Neural-Machine-Translation-Encoder–Decoder-seq2seq
- Dropbox_Learning-Phrase-Representations-using-RNN-Encoder–Decoder-seq2seq
- Dropbox_On-Using-Very-Large-Target-Vocabulary-for-Neural-Machine-Translation
- Dropbox_Addressing-the-Rare-Word-Problem-in-Neural-Machine-Translation
- Dropbox_Achieving-Open-Vocabulary-Neural-Machine-Translation
- Dropbox_Google’s-Neural-Machine-Translation-System-Bridging-the-Gap-between-Human-and-Machine-Translation
- Dropbox_Neural-Machine-Translation-by-Jointly-Learning-to-Align-and-Translate-seq2seq-with-attention
- Dropbox_Incorporating-Structural-Alignment-Biases-into-an-Attentional-Neural-Translation-Model
- Dropbox_Neural-Machine-Translation-of-Rare-Words-with-Subword-Units
- Dropbox_Beam-Search-Strategies-for-Neural-Machine-Translation
- Dropbox_Neural-Machine-Translation-and-Sequence-to-sequence-Models-a-Tutorial
- Dropbox_Generating-News-Headlines-with-Recurrent-Neural
- Dropbox_Abstractive-Text-Summarization-using-Sequence-to-sequence-RNNs-and-Beyond
- Dropbox_SocherPenningtonHuangNgManning_EMNLP2011
- Dropbox_Recursive-Deep-Models-for-Semantic-Compositionality
- Dropbox_Recurrent-Convolutional-Neural-Networks-for-Text-Classification
- Dropbox_Visualizing-and-Understanding-Recurrent-Networks
- Dropbox_Learning-text-representation-using-recurrent-convolutional-neural-network-with-highway-layers
- Dropbox_Paper_57-Sentiment_Analysis_using_Deep_Learning
Books
- Dropbox_Sutton-bookdraft2016aug
- Dropbox_TensorFlow-For-Machine-Intellig-Sam-Abrahams
- Dropbox_Ian_Goodfellow_Yoshua_Bengio_Aaron_Courville_DBookZZ.org-Deep-Learning
- Dropbox_Chollet
- Dropbox_TensorFlow-Machine-Learning-Cookbook
Deep Reinforcement Learning
- Dropbox_Reinforcement-Learning-Sutton-Barto
- Dropbox_Wiley-Series-in-Probability-and-Statistics-Martin-L.-Puterman-Markov-decision-processes.-Discrete-stochastic-dynamic-programming-MVspa-Wiley-Interscience-2005
- Dropbox_Monte-Carlo-Methods-Kalos-Whitlock
- Dropbox_Introduction-to-Stochastic-Dynamic-Programming-Ross
- Dropbox_Playing-Atari-with-Deep-Reinforcement-Learning
- Dropbox_Replicating-DeepMind
- Dropbox_Mastering_the_game_of_Go_with_deep_neural_networks_and_tree_search
- Dropbox_Asynchronous-Methods-for-Deep-Reinforcement-Learning
- Dropbox_Mastering-Chess-and-Shogi-by-Self-Play-with-a-General-Reinforcement-Learning-Algorithm
- Dropbox_Mastering-the-Game-of-Go-without-Human-Knowledge
Other
- Dropbox_Big-Data-and-Deep-Learning
- Dropbox_Data-intensive-applications-challenges-techniques-and-technologies-A-survey-on-Big-Data
- Dropbox_Deep-Learning-for-Visual-Big-Data-Analysis
- Dropbox_Big-Data-and-Deep-Learning
100 Best GitHub: Deep Learning
Notes:
This 100 item list represents a search of github for 「deep-learning」, Nov 2017.
Resources:
- aforgenet.com .. (microsoft.com/net + accord-framework.net = windows)
- caffe.berkeleyvision.org .. speed makes caffe perfect for industry use
- developer.nvidia.com/cudnn .. gpu-accelerated library of primitives for deep neural networks
- github.com/maddin79/darch .. create deep architectures in the r programming language
- deeplearning4j.org .. commercial-grade deep-learning library written in java
- keras.io .. theano-based deep learning library
- deeplearning.net/software/theano .. gpu based model training and automatic code optimization in python
- h2o.ai .. an open source parallel processing engine for machine learning
Wikipedia:
References:
See also:
100 Best Deep Belief Network Videos | 100 Best Deep Learning Videos | 100 Best DeepMind Videos | 100 Best Jupyter Notebook Videos | 100 Best MATLAB Videos | Deep Belief Network & Dialog Systems | Deep Learning & Dialog Systems 2016 | Deep Reasoning Systems | DeepDive | DNLP (Deep Natural Language Processing) | MATLAB & Dialog Systems 2016 | Skipgram & Deep Learning 2016 | Word2vec Neural Network
- tensorflow/tensorflow computation using data flow graphs for scalable machine learning
- opencv/opencv open source computer vision library
- bvlc/caffe caffe: a fast open framework for deep learning.
- fchollet/keras deep learning library for python. runs on tensorflow, theano, or cntk.
- aymericdamien/tensorflow-examples tensorflow tutorial and examples for beginners with latest apis
- apache/incubator-mxnet lightweight, portable, flexible distributed/mobile deep learning with dynamic, mutation-aware dataflow dep scheduler;…
- ty4z2008/qix machine learning?deep learning?postgresql?distributed system?node.js?golang
- exacity/deeplearningbook-chinese deep learning book chinese translation
- deeplearning4j/deeplearning4j deep learning for java, scala & clojure on hadoop & spark with gpus – from skymind
- microsoft/cntk microsoft cognitive toolkit (cntk), an open source deep-learning toolkit
- zuzoovn/machine-learning-for-software-engineers a complete daily plan for studying to become a machine learning engineer.
- songrotek/deep-learning-papers-reading-roadmap deep learning papers reading roadmap for anyone who are eager to learn this amazing tech!
- donnemartin/data-science-ipython-notebooks data science python notebooks: deep learning (tensorflow, theano, caffe, keras), scikit-learn, kaggle, big data (spar…
- mnielsen/neural-networks-and-deep-learning code samples for my book 「neural networks and deep learning」
- terryum/awesome-deep-learning-papers the most cited deep learning papers
- christoschristofidis/awesome-deep-learning a curated list of awesome deep learning tutorials, projects and communities.
- pytorch/pytorch tensors and dynamic neural networks in python with strong gpu acceleration
- oxford-cs-deepnlp-2017/lectures oxford deep nlp 2017 course
- rasmusbergpalm/deeplearntoolbox matlab/octave toolbox for deep learning. includes deep belief nets, stacked autoencoders, convolutional neural nets, …
- ageron/handson-ml a series of jupyter notebooks that walk you through the fundamentals of machine learning and deep learning in python …
- udacity/deep-learning repo for the deep learning nanodegree foundations program.
- daviddao/deeplearningbook mit deep learning book in pdf format
- cmusatyalab/openface face recognition with deep neural networks.
- lisa-lab/deeplearningtutorials deep learning tutorial notes and code. see the wiki for more info.
- wepe/machinelearning basic machine learning and deep learning
- karpathy/convnetjs deep learning in javascript. train convolutional neural networks (or ordinary ones) in your browser.
- chiphuyen/stanford-tensorflow-tutorials this repository contains code examples for the course cs 20si: tensorflow for deep learning research.
- kjw0612/awesome-deep-vision a curated list of deep learning resources for computer vision
- ujjwalkarn/machine-learning-tutorials machine learning and deep learning tutorials, articles and other resources
- tflearn/tflearn deep learning library featuring a higher-level api for tensorflow.
- bulutyazilim/awesome-datascience ? an awesome data science repository to learn and apply for real world problems.
- paddlepaddle/paddle parallel distributed deep learning
- kailashahirwar/cheatsheets-ai essential cheat sheets for deep learning and machine learning researchers
- amaas/stanford_dl_ex programming exercises for the stanford unsupervised feature learning and deep learning tutorial
- caffe2/caffe2 caffe2 is a lightweight, modular, and scalable deep learning framework.
- hangtwenty/dive-into-machine-learning dive into machine learning with python jupyter notebook and scikit-learn!
- yusugomori/deeplearning deep learning (python, c, c++, java, scala, go)
- lazyprogrammer/machine_learning_examples a collection of machine learning examples and tutorials.
- hvass-labs/tensorflow-tutorials tensorflow tutorials with youtube videos
- davisking/dlib a toolkit for making real world machine learning and data analysis applications in c++
- yenchenlin/deeplearningflappybird flappy bird hack using deep reinforcement learning (deep q-learning).
- h2oai/h2o-3 open source fast scalable machine learning api for smarter applications (deep learning, gradient boosting, random for…
- davidsandberg/facenet face recognition using tensorflow
- explosion/spacy ? industrial-strength natural language processing (nlp) with python and cython
- nvidia/digits deep learning gpu training system
- cmu-perceptual-computing-lab/openpose openpose: real-time multi-person keypoint detection library for body, face, and hands estimation
- tiny-dnn/tiny-dnn header only, dependency-free deep learning framework in c++14
- lengstrom/fast-style-transfer tensorflow cnn for fast style transfer!
- rushter/mlalgorithms minimal and clean examples of machine learning algorithms
- eriklindernoren/ml-from-scratch python implementations of machine learning models and algorithms from scratch. aims to cover everything from data min…
- hunkim/deeplearningzerotoall tensorflow basic tutorial labs
- chainer/chainer a flexible framework of neural networks for deep learning
- hironsan/bosssensor hide screen when boss is approaching.
- yunjey/pytorch-tutorial pytorch tutorial for deep learning researchers
- nervanasystems/neon intel® nervana™ reference deep learning framework committed to best performance on all hardware
- tzutalin/labelimg ? labelimg is a graphical image annotation tool and label object bounding boxes in images
- alexjc/neural-enhance super resolution for images using deep learning.
- fchollet/deep-learning-models keras code and weights files for popular deep learning models.
- amzn/amazon-dsstne deep scalable sparse tensor network engine (dsstne) is an amazon developed library for building deep learning (dl) ma…
- zsdonghao/tensorlayer tensorlayer: deep learning and reinforcement learning library for researcher and engineer.
- mlpack/mlpack mlpack: a scalable c++ machine learning library —
- owainlewis/awesome-artificial-intelligence a curated list of artificial intelligence (ai) courses, books, video lectures and papers
- dennybritz/deeplearning-papernotes summaries and notes on deep learning research papers
- leriomaggio/deep-learning-keras-tensorflow introduction to deep neural networks with keras and tensorflow
- conchylicultor/deepqa my tensorflow implementation of 「a neural conversational model」, a deep learning based chatbot
- junyanz/cyclegan software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
- aymericdamien/topdeeplearning a list of popular github projects related to deep learning
- tencent/ncnn ncnn is a high-performance neural network inference framework optimized for the mobile platform
- phillipi/pix2pix image-to-image translation with conditional adversarial nets
- koth/kcws deep learning chinese word segment
- vahidk/effectivetensorflow tensorflow tutorials and best practices.
- kuleshov/cs228-material teaching materials for the probabilistic graphical models and deep learning classes at stanford
- martin-gorner/tensorflow-mnist-tutorial sample code for 「tensorflow and deep learning, without a phd」 presentation and code lab.
- pkmital/cadl course materials/homework materials for the free mooc course on 「creative applications of deep learning w/ tensorflow…
- oreilly-japan/deep-learning-from-scratch deep learning
- thtrieu/darkflow translate darknet to tensorflow. load trained weights, retrain/fine-tune using tensorflow, export constant graph def …
- blei-lab/edward a library for probabilistic modeling, inference, and criticism. deep generative models, variational inference. runs o…
- baidu/mobile-deep-learning this research aims at simply deploying cnn(convolutional neural network) on mobile devices, with low complexity and h…
- tonybeltramelli/pix2code pix2code: generating code from a graphical user interface screenshot
- david-gpu/srez image super-resolution through deep learning
- zhec/realtime_multi-person_pose_estimation code repo for realtime multi-person pose estimation in cvpr’17 (oral)
- vdumoulin/conv_arithmetic a technical report on convolution arithmetic in the context of deep learning
- swift-ai/swift-ai the swift machine learning library.
- floydhub/dl-docker an all-in-one docker image for deep learning. contains all the popular dl frameworks (tensorflow, theano, torch, caff…
- ppwwyyxx/tensorpack a neural net training interface on tensorflow
- tensorflow/skflow simplified interface for tensorflow (mimicking scikit learn) for deep learning
- creatcodebuild/tensorflow-and-deeplearning-tutorial tensorflow & deep learning tutorial
- tobegit3hub/tensorflow_template_application tensorflow template application for deep learning
- openai/requests-for-research a living collection of deep learning problems
- intel-analytics/bigdl bigdl: distributed deep learning library for apache spark
- wendykan/deeplearningmovies kaggle’s competition for using google’s word2vec package for sentiment analysis
- balancap/ssd-tensorflow single shot multibox detector in tensorflow
- junyanz/pytorch-cyclegan-and-pix2pix image-to-image translation in pytorch (e.g. horse2zebra, edges2cats, and more)
- paddlepaddle/book deep learning 101 with paddlepaddle
- liuzhuang13/densenet densely connected convolutional networks, in cvpr 2017 (best paper award).
- nitishsrivastava/deepnet implementation of some deep learning algorithms.
- exacity/simplified-deeplearning simplified implementations of deep learning related works
- spandan-madan/deeplearningproject an in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
- riweichen/deepface face analysis mainly based on caffe. at this time, face analysis tasks like detection, alignment and recognition have…
- pair-code/deeplearnjs hardware-accelerated deep learning and linear algebra (numpy) library for the web.