Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-deeplearning-resources
https://github.com/HongqiangWei/awesome-deeplearning-resources
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- `arxiv`
- `arxiv` - Gans)
- `pdf` - implementation)
- `arxiv`
- `pdf`
- `arxiv`
- `arxiv` - spp)
- `arxiv` - ssl)
- `arxiv`
- `arxiv` - tensorflow)
- `arxiv`
- `arxiv`
- `arxiv`
- `arxiv` - rcnn)
- `arxiv` - faster-rcnn)
- `pdf`
- `arxiv`
- `arxiv`
- `arxiv`
- `arxiv` - network-tensorflow)
- `arxiv`
- `pdf`
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- `arxiv` - cam.tensorflow)
- `arxiv`
- `arxiv`
- `arxiv`
- `arxiv`
- `arxiv`
- `arxiv` - tensorflow)
- `arxiv` - faster-rcnn)
- `arxiv` - R-FCN)
- `arxiv`
- `arxiv` - Deep-Compression)
- `arxiv`
- `arxiv`
- `arxiv`
- `pdf`
- `arxiv`
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- `arxiv` - upc/saliency-salgan-2017)
- `arxiv` - tensorflow)
- `arxiv` - tensorflow)
- Aligning the fastText vectors of 78 languages
- Available pretrained word embeddings
- Inception-v3 of imagenet
- Caffe2 Model Repository
- Chinese word vectors
- Dependency-Based Word Embeddings.
- Development kit for MIT Scene Parsing Benchmark
- GloVe: Global Vectors for Word Representation
- Model of the deep residual network used for cifar10
- Pre-Trained Doc2Vec Models
- Pre-trained Show and Tell: A Neural Image Caption Generator
- Pre-trained word vectors
- Pre-trained word vectors of 30+ languages
- ResNet in TensorFlow Pretrain Model
- Single Image 3D Interpreter Network
- Source code and pretrained model for webcam pix2pix
- TensorFlow VGG-16 pre-trained model
- Trained image classification models for Keras
- VGGNets for Scene Recognition
- ZF_UNET_224 Pretrained Model
- Berkeley
- Berkeley
- CUHK
- David Silver
- Emory University
- Hinton
- Hvass Laboratories
- Jeremy Howard
- MIT
- MIT
- MIT
- NYU
- Oxford
- Oxford
- Paris Saclay
- Stanford
- Stanford
- Stanford
- Stanford
- Toronto
- Utah
- YouTube
- 吴立德
- 李宏毅
- Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville - chinese)
- Deep Learning Tutorial by LISA lab, University of Montreal
- Documentation on all topics that I learn on both Artificial intelligence and machine learning.
- Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python
- Neural Networks and Deep Learning by Michael Nielsen
- 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 - learning-an-introduction)
- 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
- Neural Networks: Tricks of the Trade (Lecture Notes in Computer Science)
- Scikit-learn 秘籍
- Deep Learning over PyTorch
- Chainer bridge the gap between algorithms and implementations of deep learning.
- A deep reinforcement learning library built on top of Chainer.
- A Pythonic deep learning framework built on top of NumPy.
- A GPU-based python implementation of deep learning algorithms.
- A computer vision library for human-computer interaction based on CNNs
- A library for probabilistic modeling, inference, and criticism.
- Distributed Deep learning with Keras & Spark.
- Deep learning toolkit implemented in python programming language intended for handling large text collections, using efficient algorithms.
- A library for deep learning with neural networks in Python using GPU acceleration with CUDA through PyCUDA.
- Deep Learning library for Theano and TensorFlow.
- Descriptive Deep Learning.
- MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
- Neon is Nervana's Python based Deep Learning framework
- A Python, C++ data mining clustering, graph coloring algorithms, oscillatory networks, neural networks library.
- Tensors and Dynamic neural networks in Python with strong GPU acceleration.
- Machine learning in Python.
- Semi-supervised learning frameworks for Python
- SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
- TensorFlow-based neural network library
- An end to end application framework to simplifies machine learning with TensorFlow
- Mathematical library in Python, maintained by LISA lab
- Theano-based deep learning libraries
- A framework that helps you build neural network models on top of Theano
- Lightweight library to build and train neural networks in Theano.
- Fastest DNN Execution Framework on Web Browser
- Deep learning framework by the BVLC
- Compute Library for Deep Neural Networks
- The Microsoft Cognitive Toolkit.
- Open Source Deep Learning Server & API
- A new system for developing, training and visualizing deep neural networks.
- A modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++.
- An Amazon developed library for building Deep Learning (DL) machine learning (ML) models.
- Lightweight Deep Learning Framework
- A lightweight C library for artificial neural networks
- An easy-to-use, efficient, flexible and scalable deep learning platform.
- Machine Learning Toolkit for Extreme Scale
- The Mobile Robot Programming Toolkit (MRPT)
- A flexible and efficient deep learning library for heterogeneous distributed systems with multi-language support
- Providing a high performing and flexible deep learning platform, by prototyping a pure NumPy interface above MXNet backend.
- Neural Designer is the most advanced analytics software
- NNabla is a deep learning framework that is intended to be used for research, development and production
- High performance deep learning inference for production deployment
- An Apache Incubating project for developing an open source deep learning library.
- An open source software library for numerical computation using data flow graph by Google
- Deep Learning library for TensorFlow for building end to end models and experiments.
- A C++11 implementation of deep learning.
- A Java suite of core NLP tools.
- Neural Net Platform.
- This is a Java implementation of some of the algorithms for training deep neural networks.
- A lightweight, easy to use and open source Java library for experimenting with feed-forward neural nets and deep learning.
- Distributed Deep learning on Apache Spark.
- The Koç University deep learning framework implemented in Julia.
- A Deep Learning framework for Julia, inspired by the C++ framework Caffe.
- Run Keras models (tensorflow backend) in the browser, with GPU support.
- Flexible neural network library with advanced neuroevolution
- A javascript deep learning and reinforcement learning library.
- Brain.js is a library of JavaScript neural networks.
- CNNs for MATLAB
- Deep Learning Matlab Framework
- Open-Source Neural Machine Translation
- Deep learning library in Lua, used by Facebook and Google Deepmind
- Machine Learning library for PHP
- Adversarial Autoencoders
- A implementation of WaveNet with fast generation
- A fast and differentiable QP solver for PyTorch.
- A PyTorch Implementation for Triplet Networks
- 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
- Convolutional recurrent network in pytorch
- Deep Q-Learning Network in pytorch
- Draw like Bob Ross using the power of Neural Networks
- Fast Neural Style for Image Style Transform by Pytorch
- Highway networks implemented in PyTorch.
- Image Classification Project Killer in PyTorch
- Image-to-image translation in PyTorch
- LeafSnap replicated using deep neural networks to test accuracy compared to traditional computer vision methods.
- Lightweight implementation of neural style in Pytorch with SqueezeNet
- OpenNMT: Open-Source Neural Machine Translation in PyTorch
- Open source person re-identification library in python
- Probabilistic Programming and Statistical Inference in PyTorch
- PyTorch Implementation of CycleGAN and SGAN for Domain Transfer
- PyTorch implementation of Fully Convolutional Networks
- pytorch implementation of grammar variational autoencoder
- PyTorch implementation of Global Vectors for Word Representation
- PyTorch implementation of the Value Iteration Networks
- PyTorch Marvelous ChatBot
- PyTorch module to use OpenFace's nn4.small2.v1.t7 model
- Pytorch Negative Sampling Loss
- Pytorch Poetry Generation
- Quickly comparing your image classification models with the state-of-the-art models
- Sequence-to-Sequence learning using PyTorch
- Sequence to Sequence Models with PyTorch
- SSD: Single Shot MultiBox Object Detector, in PyTorch
- t-SNE experiments in pytorch
- Visual Question Answering in Pytorch
- Weight normalization
- YOLOv2 in PyTorch
- CNN-yelp-challenge-2016-sentiment-classification
- Deep learning tutorial for PyData
- Deep Neural Network for Sentiment Analysis on Twitter
- Implementations of many popular deep learning models in Theano+Lasagne
- 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.
- A generic image detection program that uses tensorflow and a pre-trained Inception.
- Applying transfer learning to a custom dataset by retraining Inception's final layer
- An easy implement of VGG19 with tensorflow, which has a detailed explanation.
- An experimentation system for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
- An implementation of Pix2Pix in Tensorflow for use with frames from films
- An implementation of skip-thought vectors in Tensorflow
- A Practical Guide for Debugging TensorFlow Codes
- A real-time object recognition application using Google's TensorFlow Object Detection API and OpenCV.
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
- A simple baseline for 3d human pose estimation in tensorflow.
- Aspect Based Sentiment Analysis using End-to-End Memory Networks
- A tensorflow implementation for SqueezeDet, a convolutional neural network for object detection.
- A Tensorflow implementation of CNN-LSTM image caption generator architecture
- A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
- A TensorFlow implementation of Baidu's DeepSpeech architecture
- A tiny implementation of Deep Q Learning, using TensorFlow and OpenAI gym
- Chinese Handwriting Recognition with CNNs
- Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow
- DeepColor: Automatic coloring and shading of manga-style lineart
- Deep Learning based Python Library for Stock Market Prediction and Modelling
- Deep LSTM siamese network for text similarity
- Deepnlp:Deep Learning NLP Pipeline implemented on Tensorflow
- Dynamic Memory Network implementation in TensorFlow
- Embedding Watermarks into Deep Neural Networks
- Fast Multi(Interpolative) Style Transfer
- Fast PixelCNN++: speedy image generation
- Feature Importance in the Inception (v1) Network
- Fully differentiable deep-neural decision forest in tensorflow
- GA3C: Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU
- Generic U-Net Tensorflow implementation for image segmentation
- Implement SC-LSTM model for text generation in control of words, in Python/TensorFlow
- Implementation of Generative Adversarial Networks, for Audio.
- Implementation of Google's Tacotron in TensorFlow
- Implementations of deep RL papers and random experimentation
- Implementation of Monte Carlo Word Movers Distance in Python with TensorFlow
- Implementation of SmoothGrad as well as several other saliency techniques
- Implementation of the Differentiable Neural Computer in Tensorflow
- Interactive, node-by-node debugging and visualization for TensorFlow
- LSTM Language Model with Subword Units Input Representations
- Machine Learning on Sequential Data Using a Recurrent Weighted Average
- Metasploit for machine learning.
- Multilabel time series classification with LSTM
- Named Entity Recognition using multilayered bidirectional LSTM
- Named Entity Recognition using Recurrent Neural Networks in Tensorflow and TFLearn
- NeuroNER: Named-entity recognition using neural networks.
- Neural Relation Extraction implemented with LSTM in TensorFlow
- OCR text recognition using tensorflow with attention
- 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
- Sentiment Analysis with LSTMs in Tensorflow
- Sequence prediction using recurrent neural networks(LSTM) with TensorFlow
- Sequence-to-Sequence Grapheme-to-Phoneme toolkit
- Simple embedding based text classifier inspired by fastText, implemented in tensorflow
- Simple Recommender System using Denoising AutoEncoder, implemented using TensorFlow
- Source code and pretrained model for webcam pix2pix
- SSD in TensorFlow: Traffic Sign Detection and Classification
- Teach machine to write all we want
- Tensorflow-based Distributed Factorization Machine
- TensorFlow CNN for fast style transfer
- Tensorflow implementation of attention mechanism for text classification tasks.
- Tensorflow implementation of Dynamic Coattention Networks for Question Answering.
- Tensorflow implementation of fast neural style transfer
- Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation
- Tensorflow implementation of YOLO : Real-Time Object Detection
- Tensorflow for Time Series Applications
- TensorFlow on iOS demo
- TensorFlow on Spark
- 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
- Various models and code for the paraphrase identification task, specifically with the Quora Question Pairs dataset.
- 中文古诗自动作诗机器人
- A facial expression classification system that recognizes 6 basic emotions: happy, sad, surprise, fear, anger and neutral.
- A neural network trained to help writing neural network code using autocomplete
- Attention mechanism Implementation for Keras.
- Automated deep neural network design with genetic programming
- Deep Voice: Real-time Neural Text-to-Speech
- Embedding Watermarks into Deep Neural Networks
- Experimental implementation of novel neural network structures
- Five video classification methods
- Inception-v4, Inception - Resnet-v1 and v2 Architectures in Keras
- Implementation of some basic GAN architectures in Keras
- Isolating vocals from music with a Convolutional Neural Network.
- Keras Audio Preprocessors
- Keras code and weights files for popular deep learning models.
- keras-emoji-embeddings
- Keras implementation of Deep Clustering
- Keras implementation of Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- Python toolbox to create adversarial examples that fool neural networks
- Sis: simple image search engine
- Trained image classification models for Keras
- Transfer learning for flight-delay prediction via variational autoencoders in Keras
- Using Keras to implement recommender systems
- Wasserstein DCGAN in Tensorflow/Keras
- 15 AI and Machine Learning Events
- A curated list of awesome R packages and tools
- A list of deep learning implementations in biology
- Awesome-2vec
- Awesome Adversarial Machine Learning
- Awesome ARKit
- Awesome bayesian deep learning
- Awesome deep vision web demo
- Awesome Caffe
- Awesome Deep Learning
- Awesome Deep learning papers and other resources
- Awesome Deep Learning Resources
- Awesome Deep Vision
- Awesome Explorables
- Awesome Knowledge Distillation
- Awesome Most Cited Deep Learning Papers
- Awesome Public Datasets
- Awesome PyTorch
- Awesome-question-answering
- Awesome Reinforcement Learning
- Awesome Robotics
- Awesome Sentiment Analysis
- Awesome-SLAM-list
- Awesome speech recognition papers
- Awesome speech recognition speech synthesis papers
- 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 for Natural Language Processing
- Datasets, Transforms and Models specific to Computer Vision
- Deep Learning for Recommendation Systems
- Deep Learning Model Convertors
- Deep Learning Papers Reading Roadmap
- Deep Learning Toolbox
- First International Workshop on Deep Learning and Music
- Generative Models
- Machine Learning / Deep Learning Conferences
- Machine Learning Videos
- Machine Learning From Scratch
- Must-read papers on NRL/NE.
- Neural Networks on Silicon
- Paper list of multi-agent reinforcement learning (MARL)
- Really-awesome-gan
- Really-awesome-semantic-segmentation
- Resources and codes about transfer learning and domain adaptation
- SCODE Word Embeddings using Substitute Words
- Speech and Natural Language Processing
- Summaries and notes on Deep Learning research papers
- TensorFlow and Deep Learning Tutorials
- TensorFlow Tutorial and Examples for beginners
- The GAN Zoo
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch
- Use PyTorch to implement some classic frameworks
- Various math-related things in Python code
- 机器学习资源 Machine learning
- 图像文本位置感知与识别的论文资源汇总
- 深度学习进行目标识别的资源列表
- 用于对话系统的中英文语料
- 搜狗实验室
- 情感分析︱网络公开的免费文本语料训练数据集汇总
- 中文情感分析用词语集
- 人民日报切分/标注语料库
- 数据堂
- 哈工大信息检索研究中心(HIT CIR)语言技术平台共享资源
- 语料库在线
- 中文句结构树资料库
- 中文对白语料 chinese conversation corpus
- 3 Million Instacart Orders, Open Sourced
- ACM Multimedia Systems Conference Dataset Archive
- A dataset of 200k English plaintext jokes.
- A large-scale and high-qualityFMA: A Dataset For Music Analysis dataset of annotated musical notes.
- Alphabetical list of free/public domain datasets with text data for use in NLP
- An awesome list of high-quality datasets
- An awesome list of high-quality open datasets in public domains
- A new dataset for Attribute Based Classification and Zero-Shot Learning
- Chat corpus collection from various open sources
- Cool Datasets
- Cornell NLVR
- Corpora of misspellings for download
- DATASETS FOR DATA MINING
- Datasets of Annotated Semantic Relationships
- DeepDive Open Datasets
- FMA: A Dataset For Music Analysis
- Hard Drive Data and Stats
- Japanese Word Similarity Dataset
- Kaggle Datasets
- Movie Review Data
- Multi-Domain Sentiment Dataset
- Pixiv Dataset Overview
- Some good papers I like
- The DBpedia Knowledge Base
- The Quick, Draw! Dataset
- TriviaQA: A Large Scale Dataset for Reading Comprehension and Question Answering
- Wolfram Data Repository
Programming Languages
Keywords
deep-learning
69
tensorflow
48
machine-learning
41
pytorch
27
neural-network
23
keras
20
python
19
deep-neural-networks
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neural-networks
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computer-vision
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nlp
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reinforcement-learning
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gan
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deeplearning
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sentiment-analysis
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data-science
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awesome-list
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artificial-intelligence
6
deep-learning-tutorial
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neural-machine-translation
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lstm
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dataset
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awesome
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rnn
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cnn
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neural-style
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torch
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papers
3
language-model
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segmentation
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paper
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genetic-algorithm
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named-entity-recognition
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c-plus-plus
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natural-language-processing
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deep-reinforcement-learning
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recurrent-neural-networks
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convolutional-neural-networks
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machine-translation
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classification
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spark
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style-transfer
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pix2pix
3
seq2seq
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embeddings
3
list
3
speech-recognition
3
generative-adversarial-network
3
generative-model
3
javascript
3