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Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
pix2tex: Using a ViT to convert images of equations into LaTeX code.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
🔊 Text-Prompted Generative Audio Model
Approaching (Almost) Any Machine Learning Problem
A curated list of resources for using LLMs to develop more competitive grant applications.
Code for visualizing the loss landscape of neural nets
High-quality PNGs for logos I made for fun
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
[ECCV 2024] Official Implementation and Dataset Release for <A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization>
Continuation of Clash Verge - A Clash Meta GUI based on Tauri (Windows, MacOS, Linux)
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
real time face swap and one-click video deepfake with only a single image
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
伯克利的CS61A22Fall的所有hw lab projec，以及中译本教材
😎 Awesome lists about all kinds of interesting topics
Video+code lecture on building nanoGPT from scratch
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
An open source implementation of CLIP.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.