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.

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