Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

Stable Diffusion web UI

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

WebUI extension for ControlNet

Video+code lecture on building nanoGPT from scratch

deep learning for image processing including classification and object-detection etc.

Code for SCIS-2025 Paper "UniAnimate: Taming Unified Video Diffusion Models for Consistent Human Image Animation".

LLM training in simple, raw C/CUDA

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

[CVPR 2024] Real-Time Open-Vocabulary Object Detection

Fine-tune Mistral 7B to generate fashion style suggestions

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

InstantID: Zero-shot Identity-Preserving Generation in Seconds 🔥

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

Official PyTorch Implementation of Revisiting Self-Similarity: Structural Embedding for Image Retrieval, CVPR 2023

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Experiment on combining CLIP with SAM to do open-vocabulary image segmentation.

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.