Making large AI models cheaper, faster and more accessible
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Updated
Jun 10, 2024 - 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
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。
A low code learning project run with github actions
🔥Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)
LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training
ActiveRecord PostgreSQL Adapter extension for using a cursor to return a large result set
Visualizer for large-scale and interactive ray-tracing of neurons
BioDynaMo is a high-performance and modular, agent-based simulation platform.
Model reduction library with an emphasis on large scale parallelism and linear subspace methods
Simulation Package for Ab-initio Real-space Calculations
[CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
📈 Feature scoped Vuex modules to have a better organization of business logic code inside Vuex modules based on Large-scale Vuex application structures @3YOURMIND
High-level, high-performance, constraint-based reconstruction and analysis in Julia
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.
Globally Applicable Framework for Integrated Hydrological-Hydrodynamic Modelling (GLOFRIM)
Efficient Large-Scale Point-Cloud Viewer based on OpenGL
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