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Code for our CVPR'19 paper "Informative Object Annotations: Tell Me Something I Dont Know"
Code release for "LLMs can see and hear without any training"
[CVPR 2025] The First Investigation of CoT Reasoning (RL, TTS, Reflection) in Image Generation
A curated list for awesome discrete diffusion models resources.
Python tool for converting files and office documents to Markdown.
A curated list of topological deep learning (TDL) resources and links.
Must-read papers on graph neural networks (GNN)
One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks
Fully open reproduction of DeepSeek-R1
Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
pytorch implementation of Domain-Adversarial Training of Neural Networks
S3D Text-Video model trained on HowTo100M using MIL-NCE
Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning).
Emerge is a browser-based interactive codebase and dependency visualization tool for many different programming languages. It supports some basic code quality and graph metrics and provides a simpl…
Official public repository for PM4Py (Process Mining for Python) — an open-source library for exploring, analyzing, and optimizing business processes with Python.
An open-source toolbox for action understanding based on PyTorch
Retrieve files from shared links of Tsinghua Cloud (https://cloud.tsinghua.edu.cn/)
Official implementation of "Improved Generalization of Weight Space Networks via Augmentations", ICML 2024
Code that accompanies the paper Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning - Accepted to ICML2024
Scenic: A Jax Library for Computer Vision Research and Beyond
Framework to bring LLM applications to production
StableLM: Stability AI Language Models