Making large AI models cheaper, faster and more accessible
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Updated
Oct 6, 2025 - Python
Making large AI models cheaper, faster and more accessible
A high-performance distributed training framework for Reinforcement Learning
[ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition
🏝️ OASIS: Open Agent Social Interaction Simulations with One Million Agents.
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
飞桨大模型开发套件,提供大语言模型、跨模态大模型、生物计算大模型等领域的全流程开发工具链。
LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training
[CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
DSIR large-scale data selection framework for language model training
A native-PyTorch library for large scale M-LLM (text/audio) training with tp/cp/dp.
[MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train
Paddle Large Scale Classification Tools,supports ArcFace, CosFace, PartialFC, Data Parallel + Model Parallel. Model includes ResNet, ViT, Swin, DeiT, CaiT, FaceViT, MoCo, MAE, ConvMAE, CAE.
An efficient 3D semantic segmentation framework for Urban-scale point clouds like SensatUrban, Campus3D, etc.
A package designed for efficient face recognition across extensive photo collections, optimized for large-scale processing.
NeuroEvolution Optimization with Reinforcement Learning
Globally Applicable Framework for Integrated Hydrological-Hydrodynamic Modelling (GLOFRIM)
Official implementation of Balanced Spherical Grid for Egocentric View Synthesis (CVPR 2023)
Read, write and update large scale pandas DataFrame with Elasticsearch
A Really Scalable RL Framework to 10k+ CPUs
POMG algorithm for large-scale pursuit game with partial observation and no communication.
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