Popular GitHub Repositories for Few Shot Papers

??? 60+ Implementations/tutorials of deep learning papers with side-by-side notes ?; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ? reinforcement learning (ppo, dqn), capsnet, distillation, ... ?

? Guides, papers, lecture, notebooks and resources for prompt engineering

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Instant voice cloning by MIT and MyShell. Audio foundation model.

? Papers & tech blogs by companies sharing their work on data science & machine learning in production.

The most cited deep learning papers

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

An open source implementation of CLIP.

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

A collection of resources and papers on Diffusion Models

?Highlighting the top ML papers every week.

Convert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术

A resource repository for 3D machine learning

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

A framework for few-shot evaluation of language models.

Anomaly detection related books, papers, videos, and toolboxes

This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM 2, Florence-2, PaliGemma 2, and Qwen2.5VL.

An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io/vallex/