Stars
[NeurIPS 2025] PanTS: The Pancreatic Tumor Segmentation Dataset. PanTS is a vision-language dataset, which enables development and external evaluation of AI for pancreatic tumor detection, localiza…
A lightweight, powerful framework for multi-agent workflows
Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA
Accompanying code for Joule publication," Energy Use of AI Inference: Efficiency Pathways and Test-Time Compute", Oviedo et al., 2025
The agent that grows with you
List of Computer Science courses with video lectures.
Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command li…
Open-source framework for the research and development of foundation models.
Framework for evolving code and prompts inspired by Darwinian evolution
LMCache: Supercharge Your LLM with the Fastest KV Cache Layer
Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning
BiomedParse: A Foundation Model for Joint Segmentation, Detection, and Recognition of Biomedical Objects Across Nine Modalities
Implementation of the models described in "Cancer detection in breast MRI screening via explainable artificial intelligence anomaly detection"
Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.
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…
MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model.
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
🏆1st place in the PANORAMA challenge (early detection of PDAC on contrast-enhanced CT)
End-to-end Generative Optimization for AI Agents
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
OpenMMLab Detection Toolbox and Benchmark
[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.
[NeurIPS 2024] Touchstone - Benchmarking AI on 5,172 o.o.d. CT volumes and 9 anatomical structures
AI-powered financial analysis and investment recommendation system using multi-agent AI orchestration.
Fully automated end to end framework to extract data from complex charts and other figures in scientific literature.