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https://github.com/aymericdamien/TopDeepLearning
A list of popular github projects related to deep learning
https://github.com/aymericdamien/TopDeepLearning
deep-learning machine-learning pytorch tensorflow
Last synced: 14 days ago
JSON representation
A list of popular github projects related to deep learning
- Host: GitHub
- URL: https://github.com/aymericdamien/TopDeepLearning
- Owner: aymericdamien
- License: mit
- Created: 2016-04-27T04:13:03.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2024-02-16T15:28:31.000Z (9 months ago)
- Last Synced: 2024-10-10T08:40:50.231Z (29 days ago)
- Topics: deep-learning, machine-learning, pytorch, tensorflow
- Language: Python
- Size: 106 KB
- Stars: 5,877
- Watchers: 363
- Forks: 1,195
- Open Issues: 18
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-data-science-viz - TopDeepLearning
- awesome-ai-list-guide - TopDeepLearning
- 100-AI-Machine-learning-Deep-learning-Computer-vision-NLP - 👆
README
# Top Deep Learning Projects
A list of popular github projects related to deep learning (ranked by stars).
Last Update: 2020.07.09
| Project Name | Stars | Description |
| ------- | ------ | ------ |
|[tensorflow](https://github.com/tensorflow/tensorflow)|146k|An Open Source Machine Learning Framework for Everyone|
|[keras](https://github.com/keras-team/keras)|48.9k|Deep Learning for humans|
|[opencv](https://github.com/opencv/opencv)|46.1k|Open Source Computer Vision Library|
|[pytorch](https://github.com/pytorch/pytorch)|40k|Tensors and Dynamic neural networks in Python with strong GPU acceleration|
|[TensorFlow-Examples](https://github.com/aymericdamien/TensorFlow-Examples)|38.1k|TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)|
|[tesseract](https://github.com/tesseract-ocr/tesseract)|35.3k|Tesseract Open Source OCR Engine (main repository)|
|[face_recognition](https://github.com/ageitgey/face_recognition)|35.2k|The world's simplest facial recognition api for Python and the command line|
|[faceswap](https://github.com/deepfakes/faceswap)|31.4k|Deepfakes Software For All|
|[transformers](https://github.com/huggingface/transformers)|30.4k|🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.|
|[100-Days-Of-ML-Code](https://github.com/Avik-Jain/100-Days-Of-ML-Code)|29.1k|100 Days of ML Coding|
|[julia](https://github.com/JuliaLang/julia)|28.1k|The Julia Language: A fresh approach to technical computing.|
|[gold-miner](https://github.com/xitu/gold-miner)|26.6k|🥇掘金翻译计划，可能是世界最大最好的英译中技术社区，最懂读者和译者的翻译平台：|
|[awesome-scalability](https://github.com/binhnguyennus/awesome-scalability)|26.6k|The Patterns of Scalable, Reliable, and Performant Large-Scale Systems|
|[basics](https://github.com/madewithml/basics)|24.5k|📚 Learn ML with clean code, simplified math and illustrative visuals.|
|[bert](https://github.com/google-research/bert)|23.9k|TensorFlow code and pre-trained models for BERT|
|[funNLP](https://github.com/fighting41love/funNLP)|22.1k|(Machine Learning)NLP面试中常考到的知识点和代码实现、nlp4han:中文自然语言处理工具集(断句/分词/词性标注/组块/句法分析/语义分析/NER/N元语法/HMM/代词消解/情感分析/拼写检查、XLM：Face…|
|[xgboost](https://github.com/dmlc/xgboost)|19.4k|Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow|
|[Real-Time-Voice-Cloning](https://github.com/CorentinJ/Real-Time-Voice-Cloning)|18.4k|Clone a voice in 5 seconds to generate arbitrary speech in real-time|
|[d2l-zh](https://github.com/d2l-ai/d2l-zh)|17.9k|《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。|
|[openpose](https://github.com/CMU-Perceptual-Computing-Lab/openpose)|17.8k|OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation|
|[Coursera-ML-AndrewNg-Notes](https://github.com/fengdu78/Coursera-ML-AndrewNg-Notes)|17.7k|吴恩达老师的机器学习课程个人笔记|
|[DeepFaceLab](https://github.com/iperov/DeepFaceLab)|17.3k|DeepFaceLab is the leading software for creating deepfakes.|
|[pytorch-tutorial](https://github.com/yunjey/pytorch-tutorial)|17.3k|PyTorch Tutorial for Deep Learning Researchers|
|[Mask_RCNN](https://github.com/matterport/Mask_RCNN)|17.2k|Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow|
|[spaCy](https://github.com/explosion/spaCy)|16.8k|💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython|
|[NLP-progress](https://github.com/sebastianruder/NLP-progress)|16.2k|Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.|
|[100-Days-Of-ML-Code](https://github.com/MLEveryday/100-Days-Of-ML-Code)|15.6k|100-Days-Of-ML-Code中文版|
|[cs-video-courses](https://github.com/Developer-Y/cs-video-courses)|14.9k|List of Computer Science courses with video lectures.|
|[WaveFunctionCollapse](https://github.com/mxgmn/WaveFunctionCollapse)|14.7k|Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics.|
|[lectures](https://github.com/oxford-cs-deepnlp-2017/lectures)|14.7k|Oxford Deep NLP 2017 course|
|[reinforcement-learning](https://github.com/dennybritz/reinforcement-learning)|14.7k|Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accom…|
|[pwc](https://github.com/zziz/pwc)|14.7k|Papers with code. Sorted by stars. Updated weekly.|
|[TensorFlow-Course](https://github.com/machinelearningmindset/TensorFlow-Course)|14.6k|Simple and ready-to-use tutorials for TensorFlow|
|[DeepSpeech](https://github.com/mozilla/DeepSpeech)|14.4k|A TensorFlow implementation of Baidu's DeepSpeech architecture|
|[pumpkin-book](https://github.com/datawhalechina/pumpkin-book)|14k|《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book|
|[tfjs](https://github.com/tensorflow/tfjs)|13.5k|A WebGL accelerated JavaScript library for training and deploying ML models.|
|[examples](https://github.com/pytorch/examples)|13.5k|A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.|
|[openface](https://github.com/cmusatyalab/openface)|13.5k|Face recognition with deep neural networks.|
|[Qix](https://github.com/ty4z2008/Qix)|13.3k|Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang|
|[spleeter](https://github.com/deezer/spleeter)|12.7k|Deezer source separation library including pretrained models.|
|[Virgilio](https://github.com/virgili0/Virgilio)|12.7k|Your new Mentor for Data Science E-Learning.|
|[nndl.github.io](https://github.com/nndl/nndl.github.io)|12.7k|《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning|
|[Screenshot-to-code](https://github.com/emilwallner/Screenshot-to-code)|12.7k|A neural network that transforms a design mock-up into a static website.|
|[pytorch-CycleGAN-and-pix2pix](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix)|12.4k|Image-to-Image Translation in PyTorch|
|[pytorch-handbook](https://github.com/zergtant/pytorch-handbook)|11.9k|pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行|
|[gun](https://github.com/amark/gun)|11.9k|An open source cybersecurity protocol for syncing decentralized graph data.|
|[Paddle](https://github.com/PaddlePaddle/Paddle)|11.8k|PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训…|
|[tensorflow-zh](https://github.com/jikexueyuanwiki/tensorflow-zh)|11.8k|谷歌全新开源人工智能系统TensorFlow官方文档中文版|
|[darknet](https://github.com/AlexeyAB/darknet)|11.4k|YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )|
|[learnopencv](https://github.com/spmallick/learnopencv)|11.4k|Learn OpenCV : C++ and Python Examples|
|[neural-networks-and-deep-learning](https://github.com/mnielsen/neural-networks-and-deep-learning)|11.3k|Code samples for my book "Neural Networks and Deep Learning"|
|[google-research](https://github.com/google-research/google-research)|11.2k|Google Research|
|[labelImg](https://github.com/tzutalin/labelImg)|11.2k|🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images|
|[gensim](https://github.com/RaRe-Technologies/gensim)|11k|Topic Modelling for Humans|
|[pix2code](https://github.com/tonybeltramelli/pix2code)|10.9k|pix2code: Generating Code from a Graphical User Interface Screenshot|
|[facenet](https://github.com/davidsandberg/facenet)|10.8k|Face recognition using Tensorflow|
|[DeOldify](https://github.com/jantic/DeOldify)|10.7k|A Deep Learning based project for colorizing and restoring old images (and video!)|
|[python-machine-learning-book](https://github.com/rasbt/python-machine-learning-book)|10.7k|The "Python Machine Learning (1st edition)" book code repository and info resource|
|[stanford-cs-229-machine-learning](https://github.com/afshinea/stanford-cs-229-machine-learning)|10.6k|VIP cheatsheets for Stanford's CS 229 Machine Learning|
|[mmdetection](https://github.com/open-mmlab/mmdetection)|10.5k|OpenMMLab Detection Toolbox and Benchmark|
|[face-api.js](https://github.com/justadudewhohacks/face-api.js)|10.4k|JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js|
|[Awesome-pytorch-list](https://github.com/bharathgs/Awesome-pytorch-list)|10.4k|A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,t…|
|[nsfw_data_scraper](https://github.com/alex000kim/nsfw_data_scraper)|10.2k|Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier|
|[convnetjs](https://github.com/karpathy/convnetjs)|10k|Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.|
|[CycleGAN](https://github.com/junyanz/CycleGAN)|9.8k|Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.|
|[streamlit](https://github.com/streamlit/streamlit)|9.8k|Streamlit — The fastest way to build data apps in Python|
|[DeepCreamPy](https://github.com/deeppomf/DeepCreamPy)|9.7k|Decensoring Hentai with Deep Neural Networks|
|[stylegan](https://github.com/NVlabs/stylegan)|9.7k|StyleGAN - Official TensorFlow Implementation|
|[Dive-into-DL-PyTorch](https://github.com/ShusenTang/Dive-into-DL-PyTorch)|9.6k|本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。|
|[stanford-tensorflow-tutorials](https://github.com/chiphuyen/stanford-tensorflow-tutorials)|9.6k|This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.|
|[horovod](https://github.com/horovod/horovod)|9.6k|Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.|
|[Deep-Learning-with-TensorFlow-book](https://github.com/dragen1860/Deep-Learning-with-TensorFlow-book)|9.4k|深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.|
|[neural-doodle](https://github.com/alexjc/neural-doodle)|9.4k|Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)|
|[caire](https://github.com/esimov/caire)|9.3k|Content aware image resize library|
|[fast-style-transfer](https://github.com/lengstrom/fast-style-transfer)|9.2k|TensorFlow CNN for fast style transfer ⚡🖥🎨🖼|
|[ncnn](https://github.com/Tencent/ncnn)|9.2k|ncnn is a high-performance neural network inference framework optimized for the mobile platform|
|[kubeflow](https://github.com/kubeflow/kubeflow)|9.1k|Machine Learning Toolkit for Kubernetes|
|[nltk](https://github.com/nltk/nltk)|9k|NLTK Source|
|[flair](https://github.com/flairNLP/flair)|9k|A very simple framework for state-of-the-art Natural Language Processing (NLP)|
|[ml-agents](https://github.com/Unity-Technologies/ml-agents)|9k|Unity Machine Learning Agents Toolkit|
|[allennlp](https://github.com/allenai/allennlp)|8.8k|An open-source NLP research library, built on PyTorch.|
|[botpress](https://github.com/botpress/botpress)|8.8k|🤖 The Conversational Platform with built-in language understanding (NLU), beautiful graphical interface and Dialog Manager (DM). Easily create chatbots and AI-based virtual assistants.|
|[the-gan-zoo](https://github.com/hindupuravinash/the-gan-zoo)|8.7k|A list of all named GANs!|
|[EffectiveTensorflow](https://github.com/vahidk/EffectiveTensorflow)|8.6k|TensorFlow tutorials and best practices.|
|[tfjs-core](https://github.com/tensorflow/tfjs-core)|8.5k|WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.|
|[fairseq](https://github.com/pytorch/fairseq)|8.4k|Facebook AI Research Sequence-to-Sequence Toolkit written in Python.|
|[sonnet](https://github.com/deepmind/sonnet)|8.4k|TensorFlow-based neural network library|
|[mit-deep-learning-book-pdf](https://github.com/janishar/mit-deep-learning-book-pdf)|8.3k|MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville|
|[TensorFlow-Tutorials](https://github.com/Hvass-Labs/TensorFlow-Tutorials)|8.3k|TensorFlow Tutorials with YouTube Videos|
|[pytorch_geometric](https://github.com/rusty1s/pytorch_geometric)|8.2k|Geometric Deep Learning Extension Library for PyTorch|
|[tutorials](https://github.com/MorvanZhou/tutorials)|8.2k|机器学习相关教程|
|[fashion-mnist](https://github.com/zalandoresearch/fashion-mnist)|8k|A MNIST-like fashion product database. Benchmark 👉|
|[bert-as-service](https://github.com/hanxiao/bert-as-service)|7.9k|Mapping a variable-length sentence to a fixed-length vector using BERT model|
|[pix2pix](https://github.com/phillipi/pix2pix)|7.8k|Image-to-image translation with conditional adversarial nets|
|[mediapipe](https://github.com/google/mediapipe)|7.7k|MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.|
|[recommenders](https://github.com/microsoft/recommenders)|7.7k|Best Practices on Recommendation Systems|
|[mit-deep-learning](https://github.com/lexfridman/mit-deep-learning)|7.7k|Tutorials, assignments, and competitions for MIT Deep Learning related courses.|
|[pytorch-book](https://github.com/chenyuntc/pytorch-book)|7.6k|PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)|
|[Winds](https://github.com/GetStream/Winds)|7.6k|A Beautiful Open Source RSS & Podcast App Powered by Getstream.io|
|[vid2vid](https://github.com/NVIDIA/vid2vid)|7.4k|Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.|
|[Learn_Machine_Learning_in_3_Months](https://github.com/llSourcell/Learn_Machine_Learning_in_3_Months)|7.3k|This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube|
|[golearn](https://github.com/sjwhitworth/golearn)|7.3k|Machine Learning for Go|
|[Keras-GAN](https://github.com/eriklindernoren/Keras-GAN)|7.2k|Keras implementations of Generative Adversarial Networks.|
|[mlcourse.ai](https://github.com/Yorko/mlcourse.ai)|7k|Open Machine Learning Course|
|[faceai](https://github.com/vipstone/faceai)|7k|一款入门级的人脸、视频、文字检测以及识别的项目.|
|[pysc2](https://github.com/deepmind/pysc2)|6.9k|StarCraft II Learning Environment|
|[pretrained-models.pytorch](https://github.com/Cadene/pretrained-models.pytorch)|6.9k|Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.|
|[PyTorch-GAN](https://github.com/eriklindernoren/PyTorch-GAN)|6.7k|PyTorch implementations of Generative Adversarial Networks.|
|[vision](https://github.com/pytorch/vision)|6.7k|Datasets, Transforms and Models specific to Computer Vision|
|[nlp-tutorial](https://github.com/graykode/nlp-tutorial)|6.6k|Natural Language Processing Tutorial for Deep Learning Researchers|
|[bullet3](https://github.com/bulletphysics/bullet3)|6.6k|Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics,|
|[DCGAN-tensorflow](https://github.com/carpedm20/DCGAN-tensorflow)|6.6k|A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"|
|[tfjs-models](https://github.com/tensorflow/tfjs-models)|6.5k|Pretrained models for TensorFlow.js|
|[abu](https://github.com/bbfamily/abu)|6.5k|阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构|
|[pytorch-lightning](https://github.com/PyTorchLightning/pytorch-lightning)|6.5k|The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate|
|[tensorboardX](https://github.com/lanpa/tensorboardX)|6.4k|tensorboard for pytorch (and chainer, mxnet, numpy, ...)|
|[machine-learning-course](https://github.com/machinelearningmindset/machine-learning-course)|6.4k|💬 Machine Learning Course with Python:|
|[guess](https://github.com/guess-js/guess)|6.3k|🔮 Libraries & tools for enabling Machine Learning driven user-experiences on the web|
|[pyro](https://github.com/pyro-ppl/pyro)|6.3k|Deep universal probabilistic programming with Python and PyTorch|
|[lab](https://github.com/deepmind/lab)|6.2k|A customisable 3D platform for agent-based AI research|
|[mml-book.github.io](https://github.com/mml-book/mml-book.github.io)|6.2k|Companion webpage to the book "Mathematics For Machine Learning"|
|[Interview](https://github.com/apachecn/Interview)|6.2k|Interview = 简历指南 + LeetCode + Kaggle|
|[tensorlayer](https://github.com/tensorlayer/tensorlayer)|6.2k|Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥|
|[generative-models](https://github.com/wiseodd/generative-models)|6.1k|Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.|
|[machine-learning-yearning-cn](https://github.com/deeplearning-ai/machine-learning-yearning-cn)|6.1k|Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著|
|[keras-yolo3](https://github.com/qqwweee/keras-yolo3)|6k|A Keras implementation of YOLOv3 (Tensorflow backend)|
|[BossSensor](https://github.com/Hironsan/BossSensor)|5.9k|Hide screen when boss is approaching.|
|[tensorflow2_tutorials_chinese](https://github.com/czy36mengfei/tensorflow2_tutorials_chinese)|5.9k|tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials|
|[TensorFlow-Tutorials](https://github.com/nlintz/TensorFlow-Tutorials)|5.9k|Simple tutorials using Google's TensorFlow Framework|
|[argo](https://github.com/argoproj/argo)|5.9k|Argo Workflows: Get stuff done with Kubernetes.|
|[python-machine-learning-book-2nd-edition](https://github.com/rasbt/python-machine-learning-book-2nd-edition)|5.8k|The "Python Machine Learning (2nd edition)" book code repository and info resource|
|[dvc](https://github.com/iterative/dvc)|5.7k|🦉Data Version Control | Git for Data & Models|
|[EasyPR](https://github.com/liuruoze/EasyPR)|5.7k|An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.|
|[AdversarialNetsPapers](https://github.com/zhangqianhui/AdversarialNetsPapers)|5.6k|The classical paper list with code about generative adversarial nets|
|[tensorpack](https://github.com/tensorpack/tensorpack)|5.6k|A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility|
|[photoprism](https://github.com/photoprism/photoprism)|5.6k|Personal Photo Management powered by Go and Google TensorFlow|
|[tensorflow_cookbook](https://github.com/nfmcclure/tensorflow_cookbook)|5.6k|Code for Tensorflow Machine Learning Cookbook|
|[albumentations](https://github.com/albumentations-team/albumentations)|5.6k|fast image augmentation library and easy to use wrapper around other libraries|
|[swift](https://github.com/tensorflow/swift)|5.6k|Swift for TensorFlow|
|[darkflow](https://github.com/thtrieu/darkflow)|5.6k|Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices|
|[tensorflow_tutorials](https://github.com/pkmital/tensorflow_tutorials)|5.5k|From the basics to slightly more interesting applications of Tensorflow|
|[deep-learning-coursera](https://github.com/Kulbear/deep-learning-coursera)|5.5k|Deep Learning Specialization by Andrew Ng on Coursera.|
|[transferlearning](https://github.com/jindongwang/transferlearning)|5.5k|Everything about Transfer Learning and Domain Adaptation--迁移学习|
|[ML-NLP](https://github.com/NLP-LOVE/ML-NLP)|5.5k|此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。|
|[nmt](https://github.com/tensorflow/nmt)|5.5k|TensorFlow Neural Machine Translation Tutorial|
|[faster-rcnn.pytorch](https://github.com/jwyang/faster-rcnn.pytorch)|5.5k|A faster pytorch implementation of faster r-cnn|
|[UGATIT](https://github.com/taki0112/UGATIT)|5.4k|Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Inst…|
|[pandas-profiling](https://github.com/pandas-profiling/pandas-profiling)|5.4k|Create HTML profiling reports from pandas DataFrame objects|
|[deep-residual-networks](https://github.com/KaimingHe/deep-residual-networks)|5.4k|Deep Residual Learning for Image Recognition|
|[xlnet](https://github.com/zihangdai/xlnet)|5.3k|XLNet: Generalized Autoregressive Pretraining for Language Understanding|
|[leeml-notes](https://github.com/datawhalechina/leeml-notes)|5.2k|李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes|
|[wav2letter](https://github.com/facebookresearch/wav2letter)|5.2k|Facebook AI Research's Automatic Speech Recognition Toolkit|
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|[NeuroNER](https://github.com/Franck-Dernoncourt/NeuroNER)|1.5k|Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.|
|[wavenet_vocoder](https://github.com/r9y9/wavenet_vocoder)|1.5k|WaveNet vocoder|
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|[mAP](https://github.com/Cartucho/mAP)|1.5k|mean Average Precision - This code evaluates the performance of your neural net for object recognition.|
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|[CADL](https://github.com/pkmital/CADL)|1.5k|ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL|
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|[DAT8](https://github.com/justmarkham/DAT8)|1.5k|General Assembly's 2015 Data Science course in Washington, DC|
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|[HyperGAN](https://github.com/HyperGAN/HyperGAN)|1.1k|Composable GAN framework with api and user interface|
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|[uTensor](https://github.com/uTensor/uTensor)|1.1k|TinyML AI inference library|
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