# Awesome AI Awesomeness A curated list of awesome awesomeness about artificial intelligence(AI). If you want to contribute to this list (please do), send me a pull request. # Table of Contents <!-- MarkdownTOC depth=4 --> - [Artificial Intelligence(AI)](#AI) - [Machine Learning(ML)](#ML) - [Deep Learning(DL)](#DL) - [Computer Vision(CV)](#CV) - [Natural Language Processing(NLP)](#NLP) - [Research Topics](#RT) - [Programming Languages](#PL) - [Framework](#Framework) <a name="AI"></a> # Artificial Intelligence(AI) - [AI](https://github.com/owainlewis/awesome-artificial-intelligence) - [AI-Use-Cases](https://github.com/faktionai/awesome-ai-usecases) <a name="ML"></a> # Machine Learning(ML) - [ML](https://github.com/josephmisiti/awesome-machine-learning) - [ML-Source-Code](https://github.com/src-d/awesome-machine-learning-on-source-code) - [ML-CN](https://github.com/jobbole/awesome-machine-learning-cn) - [Adversarial-ML](https://github.com/yenchenlin/awesome-adversarial-machine-learning) - [Quantum-ML](https://github.com/krishnakumarsekar/awesome-quantum-machine-learning) <a name="DL"></a> # Deep Learning(DL) - [DL](https://github.com/ChristosChristofidis/awesome-deep-learning) - [DL-Papers](https://github.com/terryum/awesome-deep-learning-papers) - [DL-Resources](https://github.com/guillaume-chevalier/Awesome-Deep-Learning-Resources) - [DeepLearning-500-questions](https://github.com/scutan90/DeepLearning-500-questions) <a name="CV"></a> # Computer Vision(CV) - [CV](https://github.com/jbhuang0604/awesome-computer-vision) - [CV2](https://github.com/kjw0612/awesome-deep-vision) - [CV-People](Awesome-People-in-Computer-Vision) - Research Topics - [Object Detection](https://github.com/amusi/awesome-object-detection) - [Face Detection](https://github.com/ChanChiChoi/awesome-Face_Recognition) - [Semantic Segmentation](https://github.com/mrgloom/awesome-semantic-segmentation) - Object Tracking - [Multi-Object Tracking](https://github.com/SpyderXu/multi-object-tracking-paper-list) - [Pose estimation](https://github.com/wjbKimberly/pose_estimation_CVPR_ECCV_2018) - Human Pose estimation - [Human Pose estimation 1](https://github.com/cbsudux/awesome-human-pose-estimation) - [Human Pose estimation 2](https://github.com/wangzheallen/awesome-human-pose-estimation) - [Hand Pose estimation](https://github.com/xinghaochen/awesome-hand-pose-estimation) - [Scene Text Detection and Recognition](https://github.com/Jyouhou/SceneTextPapers) - [Re-ID](https://github.com/cupwater/awesome-person-ReID) - [Image Captioning](https://github.com/zhjohnchan/awesome-image-captioning) - [Question Answering](https://github.com/dapurv5/awesome-question-answering) - [Crowd Counting](https://github.com/gjy3035/Awesome-Crowd-Counting) - [Lane Detection](https://github.com/amusi/awesome-lane-detection) <a name="NLP"></a> # Natural Language Processing(NLP) - [NLP](https://github.com/keon/awesome-nlp) - [NLP-progress](https://github.com/sebastianruder/NLP-progress) - [CoreNLP](https://github.com/stanfordnlp/CoreNLP) - [NLPIR](https://github.com/NLPIR-team/NLPIR) - [nlp_course](https://github.com/yandexdataschool/nlp_course) - [nlp-datasets](https://github.com/niderhoff/nlp-datasets) - [nlp-reading-group](https://github.com/clulab/nlp-reading-group) - [Awesome-Chinese-NLP](https://github.com/crownpku/Awesome-Chinese-NLP): 中文自然语言处理相关资料 - [awesome-dl4nlp](https://github.com/brianspiering/awesome-dl4nlp) <a name="RT"></a> # Research Topics - GAN - [really-awesome-gan](https://github.com/nightrome/really-awesome-gan) - [AdversarialNetsPapers](https://github.com/zhangqianhui/AdversarialNetsPapers) - [the-gan-zoo](https://github.com/hindupuravinash/the-gan-zoo) - [Keras-GAN](https://github.com/eriklindernoren/Keras-GAN) - [gans-awesome-applications](https://github.com/nashory/gans-awesome-applications): Curated list of awesome GAN applications and demo - [SLAM](https://github.com/kanster/awesome-slam) - [VSLAM](https://github.com/tzutalin/awesome-visual-slam) - [Reinforcement Learning](https://github.com/aikorea/awesome-rl) - [Transfer Learning](https://github.com/jindongwang/transferlearning) - [Zero-Shot Learning](https://github.com/chichilicious/awesome-zero-shot-learning) - [Few-Shot Learning](https://github.com/e-271/awesome-few-shot-learning) - [Meta-Learning](https://github.com/dragen1860/awesome-meta-learning) - [Self-Supervised](https://github.com/jason718/awesome-self-supervised-learning) - [Graph Embedding](https://github.com/benedekrozemberczki/awesome-graph-embedding) - [Incremental Learning](https://github.com/xialeiliu/Awesome-Incremental-Learning) <a name="PL"></a> # Programming Languages - [C](https://notabug.org/koz.ross/awesome-c) - [C++](https://github.com/fffaraz/awesome-cpp) - [Python](https://github.com/vinta/awesome-python) - [JAVA](https://github.com/akullpp/awesome-java) - [JavaScript](awesome-javascript) - [Julia](https://github.com/svaksha/Julia.jl) - [MATLAB](https://github.com/uhub/awesome-matlab) - [R](https://github.com/qinwf/awesome-R) <a name="Framework"></a> # Framework - [TensorFlow](https://github.com/jtoy/awesome-tensorflow) - [PyTorch](https://github.com/bharathgs/Awesome-pytorch-list) - [Keras](https://github.com/fchollet/keras-resources) - [MXNet](https://github.com/chinakook/Awesome-MXNet) - [Caffe](https://github.com/MichaelXin/Awesome-Caffe) - [Torch](https://github.com/carpedm20/awesome-torch) - [Chainer](awesome-chainer)