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Hundreds of models & providers. One command to find what runs on your hardware.
The repo is finally unlocked. enjoy the party! The fastest repo in history to surpass 100K stars ⭐. Join Discord: https://discord.gg/5TUQKqFWd Built in Rust using oh-my-codex.
A framework-agnostic, git-native standard for defining AI agents
A collection of publicly available skin lesion datasets
Master programming by recreating your favorite technologies from scratch.
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI…
Official PyTorch implementation for "Large Language Diffusion Models"
Official implementation for "Diffusion Instruction Tuning"
Unsloth Studio is a web UI for training and running open models like Qwen3.5, Gemma 4, DeepSeek, gpt-oss locally.
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
A collection of 3D reconstruction papers in the deep learning era.
[CVPR 2023] Official implementation of the paper "One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer"
Vision Transformer Cookbook with Tensorflow
Auto-differentiable digitally reconstructed radiographs in PyTorch
Investigamer / cardconjurer
Forked from JKattack/cardconjurerA website that creates custom Magic: The Gathering cards
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
ChatDev 2.0: Dev All through LLM-powered Multi-Agent Collaboration
Tensorflow framework for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 2D or 3D keypoints, and how to generate textured head meshes from Ima…
This repository contains demos I made with the Transformers library by HuggingFace.
Fine-tune Segment-Anything Model with Lightning Fabric.
Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios
This is the official Pytorch implementation of "Affine Medical Image Registration with Coarse-to-Fine Vision Transformer" (CVPR 2022), written by Tony C. W. Mok and Albert C. S. Chung.
A collection of resources on applications of Transformers in Medical Imaging.