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Awesome AI\nCurated list of Awesome AI Apps and Projects(Open Source and Non Open Source)\n\nIf you want to contribute to this list (please do), send me a pull request.\n\n# Table of Contents\n\n\u003c!-- MarkdownTOC depth=4 --\u003e\n\n- [Artificial Intelligence(AI)](#AI)\n- [Machine Learning(ML)](#ML)\n- [Deep Learning(DL)](#DL)\n- [Computer Vision(CV)](#CV)\n- [Natural Language Processing(NLP)](#NLP)\n- [Speech Recognition](#SR)\n- [Other Research Topics](#ORT)\n- [Programming Languages](#PL)\n- [Framework](#Framework)\n- [Datasets](#Datasets)\n- [AI Career](#AI Career)\n\n\u003ca name=\"AI\"\u003e\u003c/a\u003e\n\n# Artificial Intelligence(AI)\n\n- [AI](https://github.com/owainlewis/awesome-artificial-intelligence)\n- [AI-Use-Cases](https://github.com/faktionai/awesome-ai-usecases)\n- [AI residency programs information](https://github.com/ankitshah009/all-about-ai-residency)\n- [Explainable AI](https://github.com/wangyongjie-ntu/Awesome-explainable-AI)\n\n\u003ca name=\"ML\"\u003e\u003c/a\u003e\n\n# Machine Learning(ML)\n\n- [ML](https://github.com/josephmisiti/awesome-machine-learning)\n- [ML-Source-Code](https://github.com/src-d/awesome-machine-learning-on-source-code)\n- [ML-CN](https://github.com/jobbole/awesome-machine-learning-cn)\n- [Adversarial-ML](https://github.com/yenchenlin/awesome-adversarial-machine-learning)\n- [Quantum-ML](https://github.com/krishnakumarsekar/awesome-quantum-machine-learning)\n- [3D-Machine-Learning](https://github.com/timzhang642/3D-Machine-Learning)\n- [Machine Learning Interpretability](https://github.com/jphall663/awesome-machine-learning-interpretability)\n- [Machine Learning System](https://github.com/HuaizhengZhang/Awesome-System-for-Machine-Learning)\n- [Mobile Machine Learning](https://github.com/fritzlabs/Awesome-Mobile-Machine-Learning)\n- [Machine Learning Problems](https://github.com/RedditSota/state-of-the-art-result-for-machine-learning-problems)\n- [Gradient Boosting](https://github.com/benedekrozemberczki/awesome-gradient-boosting-papers)\n- [Decision Tree](https://github.com/benedekrozemberczki/awesome-decision-tree-papers)\n\n\u003ca name=\"DL\"\u003e\u003c/a\u003e\n\n# Deep Learning(DL)\n\n- [DL](https://github.com/ChristosChristofidis/awesome-deep-learning)\n- [DL-Papers](https://github.com/terryum/awesome-deep-learning-papers)\n- [DL-Resources](https://github.com/guillaume-chevalier/Awesome-Deep-Learning-Resources)\n- [DeepLearning-500-questions](https://github.com/scutan90/DeepLearning-500-questions)\n- [Deep-Learning-in-Production](https://github.com/ahkarami/Deep-Learning-in-Production)\n- [DNN Compression and Acceleration](https://github.com/MingSun-Tse/EfficientDNNs)\n- [Architecture Search](https://github.com/markdtw/awesome-architecture-search)\n- [Deep Learning for Graphs](https://github.com/DeepGraphLearning/LiteratureDL4Graph)\n- [Real-time Network](https://github.com/wpf535236337/real-time-network)\n- [Deep Learning Interpretability](https://github.com/oneTaken/awesome_deep_learning_interpretability)\n- [Graph-based Deep Learning](https://github.com/naganandy/graph-based-deep-learning-literature)\n\n\u003ca name=\"CV\"\u003e\u003c/a\u003e\n\n# Computer Vision(CV)\n\n- [CV](https://github.com/jbhuang0604/awesome-computer-vision)\n- [CV2](https://github.com/kjw0612/awesome-deep-vision)\n- [CV-People](Awesome-People-in-Computer-Vision)\n- [DeepFakes](https://github.com/datamllab/awesome-deepfakes-materials)\n- [Event-based Vision Resources](https://github.com/uzh-rpg/event-based_vision_resources)\n- [Embodied Vision](https://github.com/ChanganVR/awesome-embodied-vision)\n- Research Topics\n    - [Action Recognition](https://github.com/jinwchoi/awesome-action-recognition)\n    - [Colorization](https://github.com/MarkMoHR/Awesome-Image-Colorization)\n    - [Image Classification](https://github.com/weiaicunzai/awesome-image-classification)\n        - [imgclsmob](https://github.com/osmr/imgclsmob)\n    - [Image Registration](https://github.com/Awesome-Image-Registration-Organization/awesome-image-registration)\n    - Object Detection\n        - [amusi/Object Detection](https://github.com/amusi/awesome-object-detection)\n        - [hoya012/Object Detection]( https://github.com/hoya012/deep_learning_object_detection )\n        - [Tiny Object Detection](https://github.com/kuanhungchen/awesome-tiny-object-detection)\n        - [Small Object Detection](https://github.com/tjtum-chenlab/SmallObjectDetectionList)\n        - [Video Object Detection](https://github.com/huanglianghua/video-detection-paper-list)\n        - [Anchor Free Object Detection](https://github.com/XinZhangNLPR/awesome-anchor-free-object-detection)\n    - Face\n        - [Face Detection \u0026 Recognition](https://github.com/ChanChiChoi/awesome-Face_Recognition)\n        - [awesome-face](https://github.com/polarisZhao/awesome-face)\n        - [Facial Expression Recognition (FER)](https://github.com/EvelynFan/AWESOME-FER)\n        - [Face Landmark Detection](https://github.com/mrgloom/Face-landmarks-detection-benchmark)\n        - [Landmark Detection](https://github.com/D-X-Y/landmark-detection)\n        - [Face Anti-spoofing](https://github.com/ZitongYu/DeepFAS)\n    - [Gaze Estimation](https://github.com/WuZhuoran/awesome-gaze)\n    - [HDR Image Synthesis](https://github.com/vinthony/awesome-deep-hdr)\n    - Image Segmentation\n        - [Semantic Segmentation](https://github.com/mrgloom/awesome-semantic-segmentation)\n        - [Segmentation.X](https://github.com/wutianyiRosun/Segmentation.X)\n        - [Panoptic Segmentation](https://github.com/Angzz/awesome-panoptic-segmentation)\n        - [Weakly Supervised Semantic Segmentation](https://github.com/YimingCuiCuiCui/awesome-weakly-supervised-segmentation)\n        - [Referring Image Segmentation](https://github.com/MarkMoHR/Awesome-Referring-Image-Segmentation)\n        - [Semi Supervised Learning for Medical Image Segmentation](https://github.com/HiLab-git/SSL4MIS)\n    - [Object Tracking](https://github.com/foolwood/benchmark_results)\n        - [Visual Tracking1](https://github.com/foolwood/benchmark_results)\n        - [Visual Tracking2](https://github.com/czla/daily-paper-visual-tracking)\n        - [Multi-Object Tracking](https://github.com/SpyderXu/multi-object-tracking-paper-list)\n        - [Tracking and Detection](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection)\n        - [daily-paper-visual-tracking](https://github.com/czla/daily-paper-visual-tracking)\n        - [Multimodal Tracking](https://github.com/zhang-pengyu/Multimodal-Tracking-Survey)\n    - [Pose estimation](https://github.com/wjbKimberly/pose_estimation_CVPR_ECCV_2018)\n        - [Object Pose Estimation](https://github.com/YoungXIAO13/ObjectPoseEstimationSummary)\n        - Human Pose estimation\n          - [Human Pose estimation 1](https://github.com/cbsudux/awesome-human-pose-estimation)\n          - [Human Pose estimation 2](https://github.com/wangzheallen/awesome-human-pose-estimation)\n        - [Hand Pose estimation](https://github.com/xinghaochen/awesome-hand-pose-estimation)\n        - [6D Object Pose Estimation](https://github.com/ZhongqunZHANG/awesome-6d-object)\n    - [Human Motion](https://github.com/derikon/awesome-human-motion)\n    - [Human-Object Interaction(HOI)](https://github.com/DirtyHarryLYL/HOI-Learning-List)\n    - [Long-tailed](https://github.com/zwzhang121/Awesome-of-Long-Tailed-Recognition)\n    - Scene Text\n        - [Scene Text Localization and Recognition](https://github.com/chongyangtao/Awesome-Scene-Text-Recognition)\n        - [Scene Text Localization \u0026 Recognition Resources](https://github.com/whitelok/image-text-localization-recognition)\n        - [Scene Text Detection and Recognition](https://github.com/Jyouhou/SceneTextPapers)\n        - [Text Detection and Recognition](https://github.com/hwalsuklee/awesome-deep-text-detection-recognition)\n        - [Scene Text Recognition Resources](https://github.com/HCIILAB/Scene-Text-Recognition)\n    - Super Resolution\n        - [Super Resolution (ChaofWang)](https://github.com/ChaofWang/Awesome-Super-Resolution)\n        - [Super Resolution (ptkin)](\u003chttps://github.com/ptkin/Awesome-Super-Resolution\u003e)\n        - [Image Super Resolution](https://github.com/YapengTian/Single-Image-Super-Resolution)\n        - [Video Super Resolution](https://github.com/LoSealL/VideoSuperResolution)\n    - 3D\n        - [3D Reconstruction](https://github.com/openMVG/awesome_3DReconstruction_list)\n        - [3D Human Body](https://github.com/3DFaceBody/awesome-3dbody-papers)\n    - [OCR](https://github.com/kba/awesome-ocr)\n    - Re-ID\n        - [Person Re-ID(1)](https://github.com/bismex/Awesome-person-re-identification)\n        - [Person Re-ID(2)](https://github.com/FDU-VTS/Awesome-Person-Re-Identification)\n        - [Vehicle Re-ID(1)](https://github.com/layumi/Vehicle_reID-Collection)\n        - [Vehicle Re-ID(2)](https://github.com/knwng/awesome-vehicle-re-identification)\n    - [Pedestrian Attribute Recognition](https://github.com/wangxiao5791509/Pedestrian-Attribute-Recognition-Paper-List)\n    - [Person Search](https://github.com/wangxiao5791509/Person-Search-Paper-List)\n    - [Image Captioning](https://github.com/zhjohnchan/awesome-image-captioning)\n    - [Question Answering](https://github.com/dapurv5/awesome-question-answering)\n    - [Crowd Counting](https://github.com/gjy3035/Awesome-Crowd-Counting)\n    - [Lane Detection](https://github.com/amusi/awesome-lane-detection)\n    - [Low Lignt Enhancement](https://github.com/Elin24/Awesome-Low-Lignt-Enhancement) \n    - Image Retrieval\n        - [Awesome image retrieval papers (1)](https://github.com/willard-yuan/awesome-cbir-papers)\n        - [Awesome image retrieval papers (2)](https://github.com/lgbwust/awesome-image-retrieval-papers)\n    - [Medical Imaging](https://github.com/fepegar/awesome-medical-imaging)\n        - [Medical Data](https://github.com/beamandrew/medical-data)\n        - [Medical imaging datasets](https://github.com/sfikas/medical-imaging-datasets)\n        - [Awesome GAN for Medical Imaging](https://github.com/xinario/awesome-gan-for-medical-imaging)\n        - [Deep Learning for Medical Applications](https://github.com/albarqouni/Deep-Learning-for-Medical-Applications)\n        - [Medical Image Segmentation](https://github.com/JunMa11/SOTA-MedSeg) \n    - [Image Inpainting](https://github.com/1900zyh/Awesome-Image-Inpainting)\n    - Image/Video Dehazing\n        - [awesome-dehazing](https://github.com/youngguncho/awesome-dehazing)\n        - [DehazeZoo](https://github.com/cxtalk/DehazeZoo)\n    - Image Denoising\n        - [reproducible-image-denoising-state-of-the-art](https://github.com/wenbihan/reproducible-image-denoising-state-of-the-art)\n        - [Image-Denoising-State-of-the-art](https://github.com/flyywh/Image-Denoising-State-of-the-art)\n        - [Image and Video Denoising](https://github.com/z-bingo/awesome-image-denoising-state-of-the-art)\n        - [Awesome-Denoise](https://github.com/oneTaken/Awesome-Denoise)\n    - [Image Deraining](https://github.com/nnUyi/DerainZoo)\n    - [Image/Video Deblurring]( https://github.com/subeeshvasu/Awesome-Deblurring )\n    - Image to Image(img2img)\n        - [lzhbrian/Image to Image](https://github.com/lzhbrian/image-to-image-papers)\n        - [xiaweihao/Image to Image](https://github.com/xiaweihao/awesome-image-translation)\n    - [Multi-View Stereo(MVS)](https://github.com/XYZ-qiyh/Awesome-Learning-MVS)\n    - [Underwater Image Enhancement](https://github.com/cxtalk/Awesome-Underwater-Image-Enhancement)\n    - [Video Analysis](https://github.com/HuaizhengZhang/Awsome-Deep-Learning-for-Video-Analysis)\n    - [Video Object Segmentation(VOS)](https://github.com/du0915/Video-Object-Segmentation-Paper-List)\n    - [Edge Detection](\u003chttps://github.com/MarkMoHR/Awesome-Edge-Detection-Papers\u003e)\n    - [Local and Global Descriptor](https://github.com/shamangary/awesome-local-global-descriptor)\n    - [Referring Image Segmentation](https://github.com/MarkMoHR/Awesome-Referring-Image-Segmentation)\n    - Salience\n        - [Salient Object Detection(SOD)](https://github.com/jiwei0921/SOD-CNNs-based-code-summary-)\n        - [Saliency Detection \u0026 Segmentation](https://github.com/lartpang/awesome-segmentation-saliency-dataset#another-awesome-dataset-list)\n        - [RGB-D Salient Object Detection](https://github.com/taozh2017/RGBD-SODsurvey)\n    - [Self-Supervised Learning in Medical Imaging](https://github.com/SaeedShurrab/awesome-self-supervised-learning-in-medical-imaging)\n    - [Fashion + AI](https://github.com/lzhbrian/Cool-Fashion-Papers)\n    - [Event-based Vision Resources](https://github.com/uzh-rpg/event-based_vision_resources)\n    - [Video Stabilization](https://github.com/yaochih/awesome-video-stabilization)\n    - Visual Transformer\n        - [Transformer-in-Vision](https://github.com/DirtyHarryLYL/Transformer-in-Vision)\n        - [Awesome Transformer for Vision Resources List](https://github.com/lijiaman/awesome-transformer-for-vision)\n        - [Awesome-Visual-Transformer](https://github.com/dk-liang/Awesome-Visual-Transformer)\n        - [Awesome Visual Representation Learning with Transformers](https://github.com/alohays/awesome-visual-representation-learning-with-transformers)\n\n\u003ca name=\"NLP\"\u003e\u003c/a\u003e\n\n# Natural Language Processing(NLP)\n\n- [NLP](https://github.com/keon/awesome-nlp)\n- [NLP-progress](https://github.com/sebastianruder/NLP-progress)\n- [CoreNLP](https://github.com/stanfordnlp/CoreNLP)\n- [NLPIR](https://github.com/NLPIR-team/NLPIR)\n- [nlp_course](https://github.com/yandexdataschool/nlp_course)\n- [nlp-datasets](https://github.com/niderhoff/nlp-datasets)\n- [nlp-reading-group](https://github.com/clulab/nlp-reading-group)\n- [NLP Paper](https://github.com/changwookjun/nlp-paper)\n- [Awesome-Chinese-NLP](https://github.com/crownpku/Awesome-Chinese-NLP): 中文自然语言处理相关资料\n- [awesome-dl4nlp](https://github.com/brianspiering/awesome-dl4nlp)\n- [awesome-sentence-embedding](https://github.com/Separius/awesome-sentence-embedding)\n- Research Topics\n  - [Machine Translation](https://github.com/ZNLP/SOTA-MT) \n\n\u003ca name=\"SR\"\u003e\u003c/a\u003e\n\n# Speech Recognition\n\n- [speech_recognition](https://github.com/Uberi/speech_recognition)\n- [awesome-speech-recognition-speech-synthesis-papers](https://github.com/zzw922cn/awesome-speech-recognition-speech-synthesis-papers)\n\n\u003ca name=\"ORT\"\u003e\u003c/a\u003e\n\n# Other Research Topics\n\n- Bayesian\n     - [Bayesian](https://github.com/dimenwarper/awesome-bayes)\n     - [Deep Bayesian](https://github.com/otokonoko8/deep-Bayesian-nonparametrics-papers)\n- [Capsule Networks](https://github.com/sekwiatkowski/awesome-capsule-networks)\n- [Contrastive-Learning](https://github.com/HobbitLong/PyContrast/blob/master/AWESOME_CONTRASTIVE_LEARNING.md)\n- [Data Augmentation](https://github.com/AgaMiko/data-augmentation-review)\n- [Emebedded AI](https://github.com/ysh329/awesome-embedded-ai)\n- GAN(Generative Adversarial Networks)\n  - [GAN-Case-Study](https://github.com/pshams55/GAN-Case-Study)\n  - [really-awesome-gan](https://github.com/nightrome/really-awesome-gan)\n  - [AdversarialNetsPapers](https://github.com/zhangqianhui/AdversarialNetsPapers)\n  - [the-gan-zoo](https://github.com/hindupuravinash/the-gan-zoo)\n  - [Keras-GAN](https://github.com/eriklindernoren/Keras-GAN)\n  - [gans-awesome-applications](https://github.com/nashory/gans-awesome-applications): Curated list of awesome GAN applications and demo\n  - [image-to-image translation](https://github.com/weihaox/awesome-image-translation)\n  - [GAN Inversion](https://github.com/weihaox/awesome-image-translation/blob/master/awesome-gan-inversion.md)\n- [Graph Neural Networks(GNN)](https://github.com/thunlp/GNNPapers)\n- [Semi-Supervised Learning](https://github.com/yassouali/awesome-semi-supervised-learning)\n- [SLAM](https://github.com/kanster/awesome-slam)\n  - [SLAM List](https://github.com/OpenSLAM/awesome-SLAM-list)\n  - [VSLAM](https://github.com/tzutalin/awesome-visual-slam)\n  - [SLAM(Chinese)](https://github.com/YiChenCityU/Recent_SLAM_Research)\n  - [SLAM Datasets](https://github.com/youngguncho/awesome-slam-datasets)\n  - [SFM-Visual-SLAM](https://github.com/marknabil/SFM-Visual-SLAM)\n  - [SLAM Resources](https://github.com/ckddls1321/SLAM_Resources)\n  - [wuxiaolang](https://github.com/wuxiaolang)/[Visual_SLAM_Related_Research](https://github.com/wuxiaolang/Visual_SLAM_Related_Research)\n- [Reinforcement Learning](https://github.com/aikorea/awesome-rl)\n     - [Implementation of Reinforcement Learning Algorithms](https://github.com/dennybritz/reinforcement-learning)\n     - [Reinforcement Learning Chinese](https://github.com/wwxFromTju/awesome-reinforcement-learning-zh)：中文整理的强化学习资料\n- [Transfer Learning](https://github.com/jindongwang/transferlearning)\n- [Trajectory Prediction](https://github.com/jiachenli94/Awesome-Interaction-aware-Trajectory-Prediction)\n- [Zero-Shot Learning](https://github.com/chichilicious/awesome-zero-shot-learning)\n- Few-Shot Learning\n     - [Duan-JM/Few-Shot Learning](https://github.com/Duan-JM/awesome-papers-fewshot)\n     - [e-271/Few-Shot Learning](https://github.com/e-271/awesome-few-shot-learning)\n- Federated Learning\n     - [poga/Federated Learning](https://github.com/poga/awesome-federated-learning)\n     - [Federated Computing/Learning](https://github.com/tushar-semwal/awesome-federated-computing)\n     - [ChanChiChoi/Federated Learning](ChaoChiChoi/Federated Learning)\n- Meta-Learning\n     - [Meta-Learning1](https://github.com/dragen1860/awesome-meta-learning)\n     - [Meta-Learning2](https://github.com/sudharsan13296/Awesome-Meta-Learning)\n- [Open Set Recognition](https://github.com/iCGY96/awesome_OpenSetRecognition_list)\n- Self-Supervised\n     - [jason718/Self-Supervised](https://github.com/jason718/awesome-self-supervised-learning)\n     - [Sungman-Cho/Self-Supervised]( https://github.com/Sungman-Cho/Awesome-Self-Supervised-Papers )\n     - [wvangansbeke/Self-Supervised-Learning-Overview](wvangansbeke/Self-Supervised-Learning-Overview)\n- [Graph Classification](https://github.com/benedekrozemberczki/awesome-graph-classification)\n- [Incremental Learning](https://github.com/xialeiliu/Awesome-Incremental-Learning)\n- [AutoML](https://github.com/hibayesian/awesome-automl-papers)\n     - [AutoML Survey](https://github.com/DataSystemsGroupUT/AutoML_Survey)\n     - [AutoML-and-Lightweight-Models](https://github.com/guan-yuan/awesome-AutoML-and-Lightweight-Models)\n     - [NAS](https://github.com/D-X-Y/Awesome-NAS)\n     - [Architecture Search](https://github.com/markdtw/awesome-architecture-search)\n     - [LITERATURE ON NEURAL ARCHITECTURE SEARCH](https://www.automl.org/automl/literature-on-neural-architecture-search/)\n- [Model Compression](https://github.com/cedrickchee/awesome-ml-model-compression)\n     - [EfficientDNNs](https://github.com/MingSun-Tse/EfficientDNNs)\n     - [Model Compression and Acceleration](https://github.com/memoiry/Awesome-model-compression-and-acceleration)\n     - [Neural Network Pruning](https://github.com/he-y/Awesome-Pruning)\n- [Binary Neural Networks](https://github.com/michaeltinsley/awesome-binary-neural-networks) \n-  [Multimodal Research](https://github.com/Eurus-Holmes/Awesome-Multimodal-Research)\n-  [Multimodal Machine Learning](https://github.com/pliang279/awesome-multimodal-ml)\n- [Neural Rendering](https://github.com/xiaweihao/awesome-neural-rendering)\n- [NeRF](https://github.com/yenchenlin/awesome-NeRF)\n- [Domain Adaptation](https://github.com/zhaoxin94/awsome-domain-adaptation)\n- [Robotics](https://github.com/kiloreux/awesome-robotics)\n- [Recommender Systems](https://github.com/robi56/Deep-Learning-for-Recommendation-Systems)\n- Autonomous Vehicles\n     - [Autonomous Vehicles](https://github.com/takeitallsource/awesome-autonomous-vehicles)\n     - [Autonomous Vehicles-CH]( https://github.com/DeepTecher/awesome-autonomous-vehicle )\n     - [Lidar Point cloud processing for Autonomous Driving](https://github.com/beedotkiran/Lidar_For_AD_references)\n- [Anomaly Detection](https://github.com/yzhao062/anomaly-detection-resources)\n- [Yochengliu/Point Cloud Analysis](https://github.com/Yochengliu/awesome-point-cloud-analysis)\n- [NUAAXQ/Point Cloud Analysis](https://github.com/NUAAXQ/awesome-point-cloud-analysis-2020)\n- [3D Point Clouds](https://github.com/QingyongHu/SoTA-Point-Cloud)\n- [Affective_Computing](https://github.com/suzana-ilic/Deep_Learning_Affective_Computing)\n- Knowledge Distillation\n     - [Knowledge Distillation(dkozlov)](https://github.com/dkozlov/awesome-knowledge-distillation)\n     - [Knowledge Distillation(FLHonker)](https://github.com/FLHonker/Awesome-Knowledge-Distillation)\n- [Click-Through Rate Prediction](https://github.com/shenweichen/DeepCTR)\n- [Label Noise](https://github.com/subeeshvasu/Awesome-Learning-with-Label-Noise)\n- [VAE](https://github.com/matthewvowels1/Awesome-VAEs)\n- [Imbalanced Learning](https://github.com/ZhiningLiu1998/awesome-imbalanced-learning)\n\n\u003ca name=\"PL\"\u003e\u003c/a\u003e\n\n# Programming Languages\n\n- [C](https://notabug.org/koz.ross/awesome-c)\n- [C++](https://github.com/fffaraz/awesome-cpp)\n- [Python](https://github.com/vinta/awesome-python)\n- [JAVA](https://github.com/akullpp/awesome-java)\n- [JavaScript](awesome-javascript)\n- [Julia](https://github.com/svaksha/Julia.jl)\n- [MATLAB](https://github.com/uhub/awesome-matlab)\n- [R](https://github.com/qinwf/awesome-R)\n\n\u003ca name=\"Framework\"\u003e\u003c/a\u003e\n# Framework\n\n- [TensorFlow](https://github.com/jtoy/awesome-tensorflow)\n  - [TensorFlow From Zero To- One](https://github.com/amusi/TensorFlow-From-Zero-To-One)\n  - [TensorFlow Lite](https://github.com/margaretmz/awesome-tflite)\n- [PyTorch](https://github.com/bharathgs/Awesome-pytorch-list)\n  - [PyTorch From Zero To- One](https://github.com/amusi/PyTorch-From-Zero-To-One)\n- [Keras](https://github.com/fchollet/keras-resources)\n- [MXNet](https://github.com/chinakook/Awesome-MXNet)\n- [Caffe](https://github.com/MichaelXin/Awesome-Caffe)\n- [Torch](https://github.com/carpedm20/awesome-torch)\n- [Chainer](awesome-chainer)\n\n\u003ca name=\"Datasets\"\u003e\u003c/a\u003e\n\n# Datasets\n\n- [Segmentation \u0026 Saliency detection](https://github.com/lartpang/awesome-segmentation-saliency-dataset)\n\n# AI Career\n\n- [Awesome Software Engineering for Machine Learning](https://github.com/SE-ML/awesome-seml)","projects_url":"https://awesome.ecosyste.ms/api/v1/lists/generalistcodes%2Fawesomeai/projects"}