{"data":{"slug":"nachimak28-awesome-list-of-awesomes","name":"awesome-list-of-awesomes","tagline":"A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.","github_url":"https://github.com/Nachimak28/awesome-list-of-awesomes","owner":"Nachimak28","repo":"awesome-list-of-awesomes","owner_avatar_url":"https://avatars.githubusercontent.com/u/23210132?v=4","primary_language":null,"stars":345,"forks":48,"topics":["ai","computer-vision","cv","data-science","deep-learning","distributed-systems","dl","machine-learning","microservices","ml","natural-language-processing","nlp","papers","research","tools","transfer-learning"],"archived":false,"github_pushed_at":"2023-11-13T07:31:25+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/nachimak28-awesome-list-of-awesomes","markdown_url":"https://www.graphcanon.com/tools/nachimak28-awesome-list-of-awesomes.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nachimak28-awesome-list-of-awesomes","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nachimak28-awesome-list-of-awesomes","description":"A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.","homepage_url":null,"license":"MIT","open_issues":1,"watchers":8,"ai_summary":null,"readme_excerpt":"# An Awesome List of Awesomes\n\n

\n \n

\n\n\n\n\n\nThis 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.\n\nThe topics are relevant to Data lifecycle, Machine Learning, Deep learning research and some distributed computing.\n\nNote: Not all of these links are actively maintained but some of them may serve as good starting points. \nThere 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.\n\n# Topic wise ML and DL research\n\n* [Math](https://github.com/rossant/awesome-math)\n* Data augmentation\n * [Data Augmentation link 1](https://github.com/CrazyVertigo/awesome-data-augmentation)\n * [Data Augmentation link 2](https://brunokrinski.github.io/awesome-data-augmentation/)\n * [Data Augmentation review](https://github.com/AgaMiko/data-augmentation-review)\n* [Multitask learning](https://github.com/SimonVandenhende/Awesome-Multi-Task-Learning)\n* Diffusion models\n * [Diffusion models link 1](https://github.com/heejkoo/Awesome-Diffusion-Models)\n * [Diffusion models link 2](https://github.com/hyungkwonko/awesome-diffusion-models)\n * [Stable Diffusion](https://github.com/awesome-stable-diffusion/awesome-stable-diffusion)\n* Self supervised learning\n * [Self supervised learning link 1](https://github.com/jason718/awesome-self-supervised-learning)\n * [Self supervised learning link 2](https://github.com/wvangansbeke/Self-Supervised-Learning-Overview)\n* [Semi supervised learning](https://github.com/yassouali/awesome-semi-supervised-learning)\n* Weakly Supervised Learning\n * [Weak Supervision](https://github.com/JieyuZ2/Awesome-Weak-Supervision)\n * [Weakly Supervised Image Segmentation link 1](https://github.com/gyguo/awesome-weakly-supervised-semantic-segmentation-image)\n * [Weakly Supervised Image Segmentation link 2](https://github.com/YimingCuiCuiCui/awesome-weakly-supervised-segmentation)\n* [Learning with Label noise](https://github.com/subeeshvasu/Awesome-Learning-with-Label-Noise)\n* Adversarial ML/DL\n * [Adversarial ML](https://github.com/yenchenlin/awesome-adversarial-machine-learning)\n * [Adversarial Examples for Deep learning](https://github.com/chbrian/awesome-adversarial-examples-dl)\n* [Architecture Search](https://github.com/markdtw/awesome-architecture-search)\n* [Contrastive self supervised learning](https://github.com/asheeshcric/awesome-contrastive-self-supervised-learning)\n* Zero shot learning\n * [Zero shot learning link 1](https://github.com/sbharadwajj/awesome-zero-shot-learning)\n * [Zero shot learning link 2](https://github.com/WilliamYi96/Awesome-Zero-Shot-Learning)\n* [One shot learning](https://awesomeopensource.com/projects/one-shot-learning)\n* Few shot learning\n * [Few shot learning link 1](https://github.com/e-271/awesome-few-shot-learning)\n * [Few shot learning link 2](https://github.com/Duan-JM/awesome-papers-fewshot)\n* [Siamese networks](https://awesomeopensource.com/projects/siamese-network)\n* [Image Classification](https://github.com/weiaicunzai/awesome-image-classification)\n* [Contrastive learning](https://github.com/VainF/Awesome-Contrastive-Learning)\n* [Visual transformers](https://github.com/dk-liang/Awesome-Visual-Transformer)\n* [Transformers for vision](https://github.com/lijiaman/awesome-transformer-for-vision)\n* [Transformers in Medical Imaging](https://github.com/fahadshamshad/awesome-transformers-in-medical-imaging)\n* Transformers\n * [Transformers link 1](https://github.com/ictnlp/awesome-transformer)\n * [Treasure-of-Transformers](https://github.com/ashishpatel26/Treasure-of-Transformers)\n * [Transformers link 2](https://github.com/abacaj/awesome-transformers)\n* [OpenSetRecognition list](https://github.com/iCGY96/awesome_OpenSetRecognition_list)\n* [Incremental l","github_created_at":"2022-01-03T10:04:10+00:00","created_at":"2026-07-11T12:30:22.097201+00:00","updated_at":"2026-07-11T12:30:25.967322+00:00","categories":[{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"},{"slug":"computer-vision","name":"Computer 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