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.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

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

llama3 implementation one matrix multiplication at a time

面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

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…

PyTorch code and models for the DINOv2 self-supervised learning method.

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

iBOT 🤖: Image BERT Pre-Training with Online Tokenizer (ICLR 2022)

OLMoE: Open Mixture-of-Experts Language Models