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[3DV'24 Best Paper Honorable Mention] NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

[ICRA 2025] Gaussian-LIC: Real-Time Photo-Realistic SLAM with Gaussian Splatting and LiDAR-Inertial-Camera Fusion

FlashMLA: Efficient Multi-head Latent Attention Kernels

A high-performance distributed file system designed to address the challenges of AI training and inference workloads.

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

Spatial and Temporal Attention to Improve Graph-Based Physical Simulation

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

A latent text-to-image diffusion model

[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". A…

Short example of Navier-Stokes simulation on GPU

This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.

CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making

Simple Finite Element Framework for research and education

[L4DC 2025] Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.

Robust MPC Project for the MPC course at ETH Zurich

The power method uses matrix-vector multiplication to estimate the size of the largest eigenvalue of a matrix A. An attempt is made to implement this algorithm in parallel.

PyTorch implementation of bayesian neural network [torchbnn]