转自：爱可可-爱生活
A list of recent papers regarding deep learning and deep reinforcement learning. They are sorted by time to see the recent papers first. I will renew the recent papers and add notes to these papers.
You should find the papers and software with star flag are more important or popular.
Papers
Model Zoo
Pretrained Model
Courses
Books
Software
Applications
Awesome Projects
2017 year
deep learning
deep reinforcement learning
natural language process
2016 year
deep learning
deep reinforcement learning
natural language process
2015 year
2014 year
2013 year
2012 year
2011 year
2010 year
before 2010 year
2012 | AlexNet | pdf | https://github.com/kratzert/finetune_alexnet_with_tensorflow |
2013 | RCNN | arxiv | https://github.com/rbgirshick/rcnn |
2014 | CGNA | arxiv | https://github.com/zhangqianhui/Conditional-Gans |
2014 | DeepFaceVariant | pdf | https://github.com/joyhuang9473/deepid-implementation |
2014 | GAN | arxiv | https://github.com/goodfeli/adversarial |
2014 | GoogLeNet | pdf | https://github.com/google/inception |
2014 | OverFeat | arxiv | https://github.com/sermanet/OverFeat |
2014 | SPPNet | arxiv | https://github.com/yhenon/keras-spp |
2014 | VAE | arxiv | https://github.com/dpkingma/nips14-ssl |
2014 | VGGNet | arxiv | https://gist.github.com/ksimonyan/211839e770f7b538e2d8 |
2015 | DCGAN | arxiv | https://github.com/carpedm20/DCGAN-tensorflow |
2015 | DRAW | arxiv | https://github.com/ericjang/draw |
2015 | Global And Local Attention | arxiv | https://github.com/giancds/tsf_nmt |
2015 | FaceNet | arxiv | https://github.com/davidsandberg/facenet |
2015 | Fast RCNN | arxiv | https://github.com/rbgirshick/fast-rcnn |
2015 | Faster RCNN | arxiv | https://github.com/rbgirshick/py-faster-rcnn |
2015 | FCNT | pdf | https://github.com/scott89/FCNT |
2015 | Inception | arxiv | https://github.com/tensorflow/models/tree/master/inception |
2015 | LAPGAN | arxiv | https://github.com/facebook/eyescream |
2015 | NeuralGPU | arxiv | https://github.com/tensorflow/models/tree/master/neural_gpu |
2015 | Pointer Net | arxiv | https://github.com/devsisters/pointer-network-tensorflow |
2015 | ResNet | arxiv1 , arxiv2, arxiv3 | https://github.com/tensorflow/models/tree/master/resnet |
2015 | Skip-Thought Vectors | pdf | https://github.com/tensorflow/models/tree/master/skip_thoughts |
2015 | Transformer | arxiv | https://github.com/tensorflow/models/tree/master/transformer |
2016 | Dp_sgd | arxiv | https://github.com/tensorflow/models/tree/master/differential_privacy |
2016 | EnergyGAN | arxiv | https://github.com/buriburisuri/ebgan |
2016 | Grad-CAM | arxiv | https://github.com/Ankush96/grad-cam.tensorflow |
2016 | Im2txt | arxiv | https://github.com/tensorflow/models/tree/master/im2txt |
2016 | InfoGAN | arxiv | https://github.com/buriburisuri/supervised_infogan |
2016 | Multiple_teachers | arxiv | https://github.com/tensorflow/models/tree/master/differential_privacy |
2016 | Neural Programmer | pdf | https://github.com/tensorflow/models/tree/master/neural_programmer |
2016 | PCNN | arxiv | https://github.com/kundan2510/pixelCNN |
2016 | Pix2Pix | arxiv | https://github.com/yenchenlin/pix2pix-tensorflow |
2016 | PVANet | arxiv | https://github.com/sanghoon/pva-faster-rcnn |
2016 | R-FCN | arxiv | https://github.com/Orpine/py-R-FCN |
2016 | SeqGAN | pdf | https://github.com/LantaoYu/SeqGAN |
2016 | SqueezeNet | arxiv | https://github.com/songhan/SqueezeNet-Deep-Compression |
2016 | Swivel | arxiv | https://github.com/tensorflow/models/tree/master/swivel |
2016 | SyntaxNet | arxiv | https://github.com/tensorflow/models/tree/master/syntaxnet |
2016 | Textsum | | https://github.com/tensorflow/models/tree/master/textsum |
2016 | VGNA | arxiv | https://github.com/Shuangfei/vgan |
2017 | Learning to Remember Rare Events | pdf | https://github.com/tensorflow/models/tree/master/learning_to_remember_rare_events |
2017 | SalGAN | arxiv | https://github.com/imatge-upc/saliency-salgan-2017 |
2017 | WGAN | arxiv | https://github.com/Zardinality/WGAN-tensorflow |
Available pretrained word embeddings
Inception-v3 of imagenet
Dependency-Based Word Embeddings.
GloVe: Global Vectors for Word Representation
Model of the deep residual network used for cifar10
Pre-Trained Doc2Vec Models
Pre-trained word vectors
⭐️ResNet in TensorFlow Pretrain Model
TensorFlow VGG-16 pre-trained model
VGGNets for Scene Recognition
[Utah] Applied Computational Genomics Course at UU
[Stanford] CS231n: Convolutional Neural Networks for Visual Recognition
[CUHK] ELEG 5040: Advanced Topics in Signal Processing(Introduction to Deep Learning)
[Stanford] CS224n: Natural Language Processing with Deep Learning
[Oxford] Deep Learning by Prof. Nando de Freitas
[NYU] Deep Learning by Prof. Yann LeCun
[Berkeley] CS294: Deep Reinforcement Learning
[Berkeley] Stat212b：Topics Course on Deep Learning
[MIT] S094: Deep Learning for Self-Driving Cars
[CUHK] ELEG 5040: Advanced Topics in Signal Processing (Introduction to Deep Learning)
[Stanford] CS20SI: Tensorflow for Deep Learning Research
[Stanford] CS224n: Natural Language Processing with Deep Learning
[MIT] S191: Introduction to Deep Learning
[吴立德] 《深度学习课程》
[Oxford] Deep Learning Course
[David Silver] RL Course
[MIT] Practical Deep Learning For Coders
[Google] Udacity Deep Learning Online Course
Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, [zh]
Neural Networks and Deep Learning by Michael Nielsen
Deep Learning Tutorial by LISA lab, University of Montreal
神经网络与深度学习.邱锡鹏
UFLDL Tutorial
Rules of Machine Learning: Best Practices for ML Engineering
Reinforcement Learning: An Introduction [code]
Reinforcement LearningState-of-the-Art
A Course in Machine Learning
深度学习入门 by PaddlePaddle
TensorFlow For Machine Intelligence
First Contact With TensorFlow
Learning scikit-learn: Machine Learning in Python
python
[Pylearn2] Theano-based deep learning libraries
[Blocks] Blocks is a framework that helps you build neural network models on top of Theano
⭐️[Lasagne] Lightweight library to build and train neural networks in Theano.
[Chainer] Chainer bridge the gap between algorithms and implementations of deep learning.
[ChainerRL] ChainerRL is a deep reinforcement learning library built on top of Chainer.
[DeepPy] DeepPy is a Pythonic deep learning framework built on top of NumPy.
[Deepnet] Deepnet: a GPU-based python implementation of deep learning algorithms.
[Deepgaze] Deepgaze: A computer vision library for human-computer interaction based on CNNs
[DeepQA] Tensorflow implementation of "A neural conversational model", a Deep learning based chatbot.
[DeepVideoAnalytics] Analyze videos & images, perform detections, index frames & detected objects, search by examples.
[Edward] Edward: A library for probabilistic modeling, inference, and criticism.
[Elephas] Distributed Deep learning with Keras & Spark.
[Gensim] Gensim: Deep learning toolkit implemented in python programming language intended for handling large text collections, using efficient algorithms.
[Hebel] Hebel: A library for deep learning with neural networks in Python using GPU acceleration with CUDA through PyCUDA.
[Keras] Keras: Deep Learning library for Theano and TensorFlow.
⭐️[Kur] Kur: Descriptive Deep Learning.
⭐️[Neon] Neon is Nervana's Python based Deep Learning framework.
[PyTorch] Tensors and Dynamic neural networks in Python with strong GPU acceleration.
⭐️[Scikit-Learn] scikit-learn: machine learning in Python.
⭐️[Skll] SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
[TensorFX] TensorFX is an end to end application framework to simplifies machine learning with TensorFlow
[Theano] Theano: Mathematical library in Python, maintained by LISA lab
C++
[MinPy] MinPy: Providing a high performing and flexible deep learning platform, by prototyping a pure NumPy interface above MXNet backend.
[Caffe] Caffe: Deep learning framework by the BVLC
⭐️[CNTK] CNTK:The Microsoft Cognitive Toolkit.
[DeepDetect] DeepDetect : Open Source Deep Learning Server & API
[DIGITS] NVIDIA DIGITS is a new system for developing, training and visualizing deep neural networks.
[DSSTNE] DSSTNE is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models.
[PaddlePaddle] PaddlePaddle (PArallel Distributed Deep LEarning) is an easy-to-use, efficient, flexible and scalable deep learning platform.
[MXNet] MXNet: A flexible and efficient deep learning library for heterogeneous distributed systems with multi-language support
⭐️[Singa] Singa: Singa is an Apache Incubating project for developing an open source deep learning library.
[Tensorflow] Tensorflow: An open source software library for numerical computation using data flow graph by Google
⭐️[Tiny-dnn] Tiny-dnn is a C++11 implementation of deep learning.
Java
[CoreNLP] Stanford CoreNLP: A Java suite of core NLP tools.
[Deeplearning4J] Deeplearning4J: Neural Net Platform.
[Librec] LibRec: A Java Library for Recommender Systems.
[NeuralNetworks] This is a Java implementation of some of the algorithms for training deep neural networks.
[NewralNet] A lightweight, easy to use and open source Java library for experimenting with feed-forward neural nets and deep learning.
Scala
[BigDL] BigDL: Distributed Deep learning on Apache Spark.
Julia
[Knet] Knet: Knet (pronounced "kay-net") is the Koç University deep learning framework implemented in Julia.
[Mocha] Mocha is a Deep Learning framework for Julia, inspired by the C++ framework Caffe.
Js
[Keras-js] Run Keras models (tensorflow backend) in the browser, with GPU support.
[Neurojs] A Javascript deep learning and reinforcement learning library.
Matlab
[MatConvNet] MatConvNet: CNNs for MATLAB
Lua
[OpenNMT] OpenNMT: Open-Source Neural Machine Translation
[Torch7] Torch7: Deep learning library in Lua, used by Facebook and Google Deepmind
⭐️Php
[PHP-ML] PHP-ML - Machine Learning library for PHP
pytorch
A fast and differentiable QP solver for PyTorch.
A PyTorch Implementation of Single Shot MultiBox Detector.
A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing
Comprehensive Data Augmentation and Sampling for Pytorch
CNNs for Sentence Classification in PyTorch
Deep Q-Learning Network in pytorch
Fast Neural Style for Image Style Transform by Pytorch
Highway networks implemented in PyTorch.
OpenNMT: Open-Source Neural Machine Translation in PyTorch
⭐️PyTorch implementation of Fully Convolutional Networks
PyTorch implementation of Global Vectors for Word Representation
PyTorch implementation of the Value Iteration Networks
Pytorch Negative Sampling Loss
Pytorch Poetry Generation
Sequence to Sequence Models with PyTorch
SSD: Single Shot MultiBox Object Detector, in PyTorch
t-SNE experiments in pytorch
YOLOv2 in PyTorch
theano
CNN-yelp-challenge-2016-sentiment-classification
Deep Neural Network for Sentiment Analysis on Twitter
Implementations of many popular deep learning models in Theano+Lasagne
tensorflow
A framework for developing and evaluating reinforcement learning algorithms
A general-purpose encoder-decoder framework for Tensorflow that can be used for Machine Translation, Text Summarization, Conversational Modeling, Image Captioning, and more.
An implementation of Pix2Pix in Tensorflow for use with frames from films
A Practical Guide for Debugging TensorFlow Codes
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
⭐️Aspect Based Sentiment Analysis using End-to-End Memory Networks
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
⭐️A TensorFlow implementation of Baidu's DeepSpeech architecture
DeepColor: Automatic coloring and shading of manga-style lineart
Deep Learning based Python Library for Stock Market Prediction and Modelling
Deepnlp:Deep Learning NLP Pipeline implemented on Tensorflow
Embedding Watermarks into Deep Neural Networks
Fast Multi(Interpolative) Style Transfer
Fast PixelCNN++: speedy image generation
Fully differentiable deep-neural decision forest in tensorflow
GA3C: Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU
Implementation of Generative Adversarial Networks, for Audio.
Interactive, node-by-node debugging and visualization for TensorFlow
⭐️Machine Learning on Sequential Data Using a Recurrent Weighted Average
Metasploit for machine learning.
Multilabel time series classification with LSTM
Neural Relation Extraction implemented with LSTM in TensorFlow
PixelVAE with or without regularization
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
⭐️Realistic Handwriting with Tensorflow
Real-time Joint Semantic Reasoning for Autonomous Driving
Self-Driving Car Engineer Nanodegree
Sequence-to-Sequence Grapheme-to-Phoneme toolkit
Simple Recommender System using Denoising AutoEncoder, implemented using TensorFlow
SSD in TensorFlow: Traffic Sign Detection and Classification
Tensorflow implementation of fast neural style transfer
TensorFlow on iOS demo
TensorFlowOnSpark
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets
⭐️Tensorflow Tutorial files and Implementations of various Deep NLP and CV Models
Tutorials for deep learning
使用TensorFlow实现的Sequence to Sequence的聊天机器人模型
Udacity SDC: Vehicle Detection
⭐️Keras
Embedding Watermarks into Deep Neural Networks
Experimental implementation of novel neural network structures
keras-emoji-embeddings
Wasserstein DCGAN in Tensorflow/Keras
15 AI and Machine Learning Events
Awesome Adversarial Machine Learning
Awesome-Caffe
Awesome Deep Learning
Awesome Deep learning papers and other resources
Awesome Deep Vision
Awesome - Most Cited Deep Learning Papers
Awesome Public Datasets
Awesome PyTorch
⭐️Awesome Reinforcement Learning
Awesome Robotics
Awesome Sentiment Analysis
Awesome TensorFlow
⭐️Chainer Info
Collection of generative models, e.g. GAN, VAE in Tensorflow, Keras, and Pytorch
⭐️Collection of reinforcement learners implemented in python.
Datasets, Transforms and Models specific to Computer Vision
Deep Learning Papers Reading Roadmap
Machine Learning Videos
Machine Learning From Scratch
Paper list of multi-agent reinforcement learning (MARL)
SCODE Word Embeddings using Substitute Words
Summaries and notes on Deep Learning research papers
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch
⭐️Various math-related things in Python code
用于对话系统的中英文语料
原文链接：
http://weibo.com/1402400261/EAvRzdi5C?from=page_1005051402400261_profile&wvr=6&mod=weibotime&type=comment#_rnd1489922968669
链接：
https://github.com/endymecy/awesome-deeplearning-resources
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