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Econometrics AI Agent: A specialized LLM-driven agent for automating complex econometric analysis with zero-shot learning, outperforming general AI in expert tasks. 🚀
Interactive notebook with presentation style about the abstrac and applied understandig of Persistent Homology
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen2.5, Qwen3, Llama, and more!
PyTorch Explain: Interpretable Deep Learning in Python.
An Automatic Prompt Optimization Framework for Large Language Models
[Up-to-date] Large Language Model Agent: A Survey on Methodology, Applications and Challenges
TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients. Published in Nature.
A Vision-Language Benchmark for Microscopy Understanding
Gaussian Haircut: Human Hair Reconstruction with Strand-Aligned 3D Gaussians
A foundation model for universal 3D blood vessel segmentation. Paper accepted @ CVPR25.
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…
Segment Anything Model for Medical Image Segmentation: Open-Source Project Summary
Pytorch code of MICCAI 2023 Paper-Ariadne’s Thread : Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray images
Representation Engineering: A Top-Down Approach to AI Transparency
[NeurIPS'22] An official PyTorch implementation of PTv2.
Geodesic-Former: a Geodesic-Guided Few-shot 3D Point Cloud Instance Segmenter (ECCV 2022)
[CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Concerto (NeurIPS'25), Sonata (CVPR'25 Highlight), PTv3 (CVPR'24 Oral)
A PyTorch implementation of Connected Components Labeling
End-to-End Object Detection with Transformers
[IEEE TMI-2024] UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation