An Awesome List of Awesomes

This is a simple aggregation of all of the "Awesome --Topic name--" github repos I've found till date and I feel are important to get started in the corresponding Topic.

The topics are relevant to Data lifecycle, Machine Learning, Deep learning research and some distributed computing.

Note: Not all of these links are actively maintained but some of them may serve as good starting points. There are multiple lists for certain topics which may or may not have common links, I have added them with a serial number under the topic in no particular order.

Topic wise ML and DL research

• Data augmentation
  • Data Augmentation link 1
  • Data Augmentation link 2
  • Data Augmentation review
• Multitask learning
• Self supervised learning
• Semi supervised learning
• Weakly Supervised Learning
  • Weak Supervision
  • Weakly Supervised Image Segmentation link 1
  • Weakly Supervised Image Segmentation link 2
• Learning with Label noise
• Adversarial ML/DL
  • Adversarial ML
  • Adversarial Examples for Deep learning
• Architecture Search
• Contrastive self supervised learning
• Zero shot learning
• One shot learning
• Few shot learning
• Siamese networks
• Image Classification
• Contrastive learning
• Visual transformers
• Transformers for vision
• Transformers
• OpenSetRecognition list
• Incremental learning
• Meta Learning
  • Meta learning link 1
  • Meta learning link 2
• Deep learning uncertainty
• Semantic segmentation
• Image Delineation
• Long tailed recognition/learning
  • Long tailed recognition link 1
  • Long tailed recognition link 2
  • Long tailed recognition link 3
• Image matting
• Image inpainting
• Image Harmonization
• Face
  • Face Recognition
  • Face related resources
• Conformal predictions
• Scene understanding
• Panoptic Segmentation
  • Panoptic Segmentation link 1
  • Panoptic Segmentation link 2
• Object Tracking and Detection
  • Object Detection link 1
  • Object Detection link 2
  • Object Tracking and Detection
• Image Denoising
  • Image Denoising link 1
  • Image Denoising link 2
• Image Distortion correction
• Image Deblurring
• Continual Learning/Lifelong learning
• Multimodal learning
  • Multimodal learning link 1
  • Multimodal learning link 2
• Active learning
  • Active learning link 1
  • Active learning link 2
• Deep Reinforcement Learning
• Knowledge Distillation
  • Knowledge distillation link 1
  • Knowledge distillation link 2
• Anomaly detection
• Local Global Descriptors
• Image Captioning
  • Image Captioning link 1
  • Image Captioning link 2
• Image to Image translation
• Text To Speech
• Text to Image synthesis
  • Text to Image link 1
  • Text to Image link 2
• Deep HDR Image synthesis
• Speech recognition & synthesis
• Speaker Diarization
• Video Analysis
  • Video analysis
  • Video Action Recognition
  • Video understanding
  • Video Object Detection
  • Video Text Retrieval
• Video Generation
• Pose Estimation
  • Pose estimation link 1
  • Pose estimation link 2
• Machine translation
• Visual Question Answering (VQA)
  • Visual Question Answering link 1
  • Visual Question Answering link 2
• Question Answering (QA)
  • Question Answering link 1
  • Question Answering link 2
  • Question Answering link 3
• Vision and Language Pretrained models
• Vision-Language Navigation
• Explainable Graph Reasoning
• Knowledge Graph Question Answering
• Text Summarization
  • Text Summarization link 1
  • Text Summarization link 2
• Optical Character Recognition (OCR)
  • Optical Character Recognition (OCR) link 1
  • Optical Character Recognition (OCR) link 2
• Document understanding
• Graph Neural Networks (GNN)
  • Graph Neural Networks (GNN) link 1
  • Graph Neural Networks (GNN) link 2
  • Graph Neural Networks (GNN) link 3
• Generative Adversarial Networks (GAN)
  • Generative Adversarial Networks (GAN) link 1
  • Generative Adversarial Networks (GAN) link 2
  • GAN Training
  • GAN Applications
• Generative Modelling
• Optical Flow
• 360 vision
• Energy based models
• Decision Trees
• XGBoost
• Metric Learing
• Recommendation Systems
  • Recommendation Systems link 1
  • Recommendation Systems link 2
• Point Cloud Analysis
• Pruning
• Neural Ordinary Differential Equations (ODE)
• Autonomous Vehicles (FSD)
  • Autonomous Vehicles (FSD) link 1
  • Autonomous Vehicles (FSD) link 2
• Robotics
• Curriculum Learning
• Causal Inference/ML
  • Causal Inference/ML Link 1
  • Causal Inference/ML Link 2
  • Causal Inference/ML Link 3
• Satellite Image Deep Learning
• Transfer learning, Domain Adaption & Domain Generalization
  • Transfer learning, Domain Adaption & Domain Generalization link 1
  • Transfer learning, Domain Adaption & Domain Generalization link 2
  • Transfer learning, Domain Adaption & Domain Generalization link 3
  • Transfer learning, Domain Adaption & Domain Generalization link 4
  • Domain Adaption - Object detection
• Image Restoration
• Variational Autoencoders
• Bayesian inference/Bayesian DL
  • Bayesian inference/Bayesian DL link 1
  • Bayesian inference/Bayesian DL link 2
• Deep Geometrical Learning
• Drug Discovery
• Representation Learning
• Time series
  • Time series link 1
  • Time series link 2
• Unsupervised/Weakly supervised learning
• Neural Rendering
• Neural Radiance Fields
• Neural Art & Style Transfer
  • Neural Art
  • Style Transfer
• Deepfakes
  • Deepfakes link 1
  • Deepfakes link 2
• Makeup transfer
• Audio/Music
• Inverse Graphics
• Model Quantization
  • Model Quantization link 1
  • Model Quantization link 2
• Game AI
  • Game AI link 1
  • Game AI link 2
• Biomedical ML
  • Biomedical ML
  • ML in Biomed Healthcare imaging
  • Neuron segmentation in EM images
  • Medical imaging
• Financial ML/Quantitative Finance
  • Financial ML
  • Quantitative Finance
  • AI in Finance
• Embodied Vision
• Mobile Machine Learning
• 3D Machine Learning
• AutoML
  • AutoML link 1
  • AutoML link 2
  • AutoML link 3
• Chatbot projects
  • Chatbot projects link 1
  • Chatbot projects link 2
• Conversational AI
• AI for climate change
  • AI for climate change link 1
  • AI for climate change link 2

Generic Data cycle, ML, DL, CV, NLP lists

• Deep Vision
• Machine Learning
• Computer vision
• Image processing applications with OpenCV
• DL papers
• DL paper reading roadmap
• Applied Deep Learning
• NLP
  • NLP link 1
  • NLP link 2
  • NLP link 3
• Naas.ai Jupyter Templates for data projects
• GPT 3
  • GPT 3 link 1
  • GPT 3 link 2
• Made With ML
• Guide to Pytorch Learning Rate Scheduling

Data and ML lifecycle

• Data Collection
• Robotics Datasets
• Public Datasets
• Data Engineering
  • Data Engineering link 1
  • Data Engineering link 2
• Data Labeling
• Software Engineering for Machine Learning
• Production level ML/DL
  • Production level DL link 1
  • Production level DL link 2
  • Production level ML
• ML system design
• Applied ML
• MLOps
  • MLOps link 1
  • MLOps link 2
• AIOps
• Explainable AI(XAI)
  • Explainable AI (XAI) link 1
  • Explainable AI (XAI) link 2
• ML Interpretability
• Fairness in AI
• Kaggle Solutions
• Ethical AI Guidelines

Cool books for modern ML, DL applications

• ML Design Patterns
• Distributed ML Patterns
• Deep Learning Design Patterns
• PyTorch Computer Vision Cookbook - 70 recipes

Distributed systems and more

• ASGI
• Distributed systems
• Python
  • Python link 1
  • Python link 2
• Microservices
  • Microservices link 1
  • Microservices link 2
• Design Patterns
• Asyncio Python

Contribution guide

Please to create an issue in case of broken link, typos or topic request. Feel free to create a Pull Request in case you find some new interesting awesome list, but before that verify if that same repo link isn't already a part of the existing list. In case of multiple links for a single topic, if they are forks of each other, please raise a PR to fix that with the latest fork's link.

TODOs

• Rearrange the topics in alphabetical order
• Bifurcate or tag topics based on specialization (CV, NLP) etc
• Add definitions for certain tasks
• Convert README to a tabular format