# 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) - [Speech Recognition](#SR) - [Other Research Topics](#ORT) - [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) - [AI residency programs information](https://github.com/ankitshah009/all-about-ai-residency) <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) - [3D-Machine-Learning](https://github.com/timzhang642/3D-Machine-Learning) - [Machine Learning Interpretability](https://github.com/jphall663/awesome-machine-learning-interpretability) - [Machine Learning System](https://github.com/HuaizhengZhang/Awesome-System-for-Machine-Learning) - [Mobile Machine Learning](https://github.com/fritzlabs/Awesome-Mobile-Machine-Learning) - [Machine Learning Problems](https://github.com/RedditSota/state-of-the-art-result-for-machine-learning-problems) - [Gradient Boosting](https://github.com/benedekrozemberczki/awesome-gradient-boosting-papers) <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) - [Deep-Learning-in-Production](https://github.com/ahkarami/Deep-Learning-in-Production) - [DNN Compression and Acceleration](https://github.com/MingSun-Tse/EfficientDNNs) - [Architecture Search](https://github.com/markdtw/awesome-architecture-search) <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) - [Event-based Vision Resources](https://github.com/uzh-rpg/event-based_vision_resources) - Research Topics - [Image Classification](https://github.com/weiaicunzai/awesome-image-classification) - [imgclsmob](https://github.com/osmr/imgclsmob) - [Object Detection](https://github.com/amusi/awesome-object-detection) - [Video Object Detection](https://github.com/huanglianghua/video-detection-paper-list) - Face - [Face Detection & Recognition](https://github.com/ChanChiChoi/awesome-Face_Recognition) - [awesome-face](https://github.com/polarisZhao/awesome-face) - [Facial Expression Recognition (FER)](https://github.com/EvelynFan/AWESOME-FER) - [Face Landmark Detection](https://github.com/mrgloom/Face-landmarks-detection-benchmark) - Image Segmentation - [Semantic Segmentation](https://github.com/mrgloom/awesome-semantic-segmentation) - [Segmentation.X](https://github.com/wutianyiRosun/Segmentation.X) - [Panoptic Segmentation](https://github.com/Angzz/awesome-panoptic-segmentation) - [Weakly Supervised Semantic Segmentation](https://github.com/JackieZhangdx/WeakSupervisedSegmentationList) - [Object Tracking](https://github.com/foolwood/benchmark_results) - [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 - [Scene Text Localization and Recognition](https://github.com/chongyangtao/Awesome-Scene-Text-Recognition) - [Scene Text Localization & Recognition Resources](https://github.com/whitelok/image-text-localization-recognition) - [Scene Text Detection and Recognition](https://github.com/Jyouhou/SceneTextPapers) - Super Resolution - [Video Super Resolution](https://github.com/LoSealL/VideoSuperResolution) - 3D - [3D Reconstruction](https://github.com/openMVG/awesome_3DReconstruction_list) - [OCR](https://github.com/kba/awesome-ocr) - Re-ID - [Person Re-ID](https://github.com/bismex/Awesome-person-re-identification) - [Vehicle Re-ID](https://github.com/knwng/awesome-vehicle-re-identification) - [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) - Image Retrieval - [Awesome image retrieval papers (1)](https://github.com/willard-yuan/awesome-cbir-papers) - [Awesome image retrieval papers (2)](https://github.com/lgbwust/awesome-image-retrieval-papers) - [Medical Imaging](https://github.com/fepegar/awesome-medical-imaging) - [Medical Data](https://github.com/beamandrew/medical-data) - [Medical imaging datasets](https://github.com/sfikas/medical-imaging-datasets) - [Awesome GAN for Medical Imaging](https://github.com/xinario/awesome-gan-for-medical-imaging) - [Deep Learning for Medical Applications](https://github.com/albarqouni/Deep-Learning-for-Medical-Applications) - [Image Inpainting](https://github.com/1900zyh/Awesome-Image-Inpainting) - [Image Dehazing](https://github.com/youngguncho/awesome-dehazing) - Image Denoising - [reproducible-image-denoising-state-of-the-art](https://github.com/wenbihan/reproducible-image-denoising-state-of-the-art) - [Image-Denoising-State-of-the-art](https://github.com/flyywh/Image-Denoising-State-of-the-art) - [Image to Image](https://github.com/lzhbrian/image-to-image-papers) - [Video Analysis](https://github.com/HuaizhengZhang/Awsome-Deep-Learning-for-Video-Analysis) - [Edge Detection](<https://github.com/MarkMoHR/Awesome-Edge-Detection-Papers>) - Salience - [Salient Object Detection(SOD)](https://github.com/jiwei0921/SOD-CNNs-based-code-summary-) - [Saliency Detection & Segmentation](https://github.com/lartpang/awesome-segmentation-saliency-dataset#another-awesome-dataset-list) - [Fashion + AI](https://github.com/lzhbrian/Cool-Fashion-Papers) - [Event-based Vision Resources](https://github.com/uzh-rpg/event-based_vision_resources) <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) - [awesome-sentence-embedding](https://github.com/Separius/awesome-sentence-embedding) <a name="SR"></a> # Speech Recognition - [speech_recognition](https://github.com/Uberi/speech_recognition) - [awesome-speech-recognition-speech-synthesis-papers](https://github.com/zzw922cn/awesome-speech-recognition-speech-synthesis-papers) <a name="ORT"></a> # Other Research Topics - [Capsule Networks](https://github.com/sekwiatkowski/awesome-capsule-networks) - 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) - [SLAM List](https://github.com/OpenSLAM/awesome-SLAM-list) - [VSLAM](https://github.com/tzutalin/awesome-visual-slam) - [SLAM(Chinese)](https://github.com/YiChenCityU/Recent_SLAM_Research) - [SLAM Datasets](https://github.com/youngguncho/awesome-slam-datasets) - [SFM-Visual-SLAM](https://github.com/marknabil/SFM-Visual-SLAM) - [SLAM Resources](https://github.com/ckddls1321/SLAM_Resources) - [NAS](https://github.com/D-X-Y/Awesome-NAS) - [Graph Neural Networks(GNN)](https://github.com/thunlp/GNNPapers) - [Reinforcement Learning](https://github.com/aikorea/awesome-rl) - [Implementation of Reinforcement Learning Algorithms](https://github.com/dennybritz/reinforcement-learning) - [Reinforcement Learning Chinese](https://github.com/wwxFromTju/awesome-reinforcement-learning-zh):中文整理的强化学习资料 - [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) - [AutoML](https://github.com/hibayesian/awesome-automl-papers) - [AutoML-and-Lightweight-Models](https://github.com/guan-yuan/awesome-AutoML-and-Lightweight-Models) - [Model Compression](https://github.com/cedrickchee/awesome-ml-model-compression) - [EfficientDNNs](https://github.com/MingSun-Tse/EfficientDNNs) - [Model Compression and Acceleration](https://github.com/memoiry/Awesome-model-compression-and-acceleration) - [Domain Adaptation](https://github.com/zhaoxin94/awsome-domain-adaptation) - [Robotics](https://github.com/kiloreux/awesome-robotics) - [Recommender Systems](https://github.com/robi56/Deep-Learning-for-Recommendation-Systems) - [Autonomous Vehicles](https://github.com/takeitallsource/awesome-autonomous-vehicles) - [Lidar Point cloud processing for Autonomous Driving](https://github.com/beedotkiran/Lidar_For_AD_references) - [Anomaly Detection](https://github.com/yzhao062/anomaly-detection-resources) - [Point Cloud Analysis](https://github.com/Yochengliu/awesome-point-cloud-analysis) - [Affective_Computing](https://github.com/suzana-ilic/Deep_Learning_Affective_Computing) - [Knowledge Distillation](https://github.com/dkozlov/awesome-knowledge-distillation) - [Click-Through Rate Prediction](https://github.com/shenweichen/DeepCTR) <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)