Accessible large language models via k-bit quantization for PyTorch.

A generative world for general-purpose robotics & embodied AI learning.

[ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

[ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.

[ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

Convolutional accelerator kernel, target ASIC & FPGA

NATSA is the first near-data-processing accelerator for time series analysis based on the Matrix Profile (SCRIMP) algorithm. NATSA exploits modern 3D-stacked High Bandwidth Memory (HBM) to enable e…

Code for rendering the point cloud figures in paper: "PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows"

The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.

Latent Point Diffusion Models for 3D Shape Generation

SDA: Low-Bit Stable Diffusion Acceleration on Edge FPGAs

[CVPR 2024] DeepCache: Accelerating Diffusion Models for Free

💭 Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)

[SIGGRAPH Asia'22] The codes of 3QNet: 3D Point Cloud Geometry Quantization Compression Network

QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving

RandLA-Net's implementation with Pytorch

OpenVLA: An open-source vision-language-action model for robotic manipulation.

JAX implementation of Plenoxels

Official code for CVPR 2023 Paper, HexPlane: A Fast Representation for Dynamic Scenes

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)

⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。

Code comment for 3DGS

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

Code release for NeRF (Neural Radiance Fields)