SparseVLMs

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

An Efficient Enterprise-class Container Engine

Sparsity-aware deep learning inference runtime for CPUs

This is a collection of our NAS and Vision Transformer work.

Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024

[ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

Easy-to-use data analysis / manipulation framework for humans

Official implementation of Würstchen: Efficient Pretraining of Text-to-Image Models

A high-performance inference system for large language models, designed for production environments.