Stars
A complete computer science study plan to become a software engineer.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
MiniCPM3-4B: An edge-side LLM that surpasses GPT-3.5-Turbo.
One UI is all done with chatgpt web, midjourney, gpts,suno,luma,runway,viggle,flux,ideogram,Realtime; Simultaneous support Web / PWA / Linux / Win / MacOS platform
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…
Code for the paper: "ODIN: A Single Model for 2D and 3D Segmentation" (CVPR 2024)
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型
Training Segment Anything Model(SAM) by MetaAI from scratch and fine-tuning it with NDIS Park(Night and Day Instance Segmented Park) dataset.
A latent text-to-image diffusion model
[ICML 2024] Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs (RPG)
An advanced guide to learn English which might benefit you a lot 🎉 . 离谱的英语学习指南/英语学习教程。
Few Shot Semantic Segmentation Papers
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Open source code for AlphaFold.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
[CVPR'24] HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models
Segment Anything in Medical Images
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
Official implementation of SAM-Med2D
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
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.
Code & Models for 3DETR - an End-to-end transformer model for 3D object detection
Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.