Colossal-AI: A Unified Deep Learning System for Big Model Era
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Updated
Jan 13, 2023 - Python
Colossal-AI: A Unified Deep Learning System for Big Model Era
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
ActiveRecord PostgreSQL Adapter extension for using a cursor to return a large result set
Paddle Distributed Training Examples. 飞桨分布式训练示例 Resnet Bert GPT MOE DataParallel ModelParallel PipelineParallel HybridParallel AutoParallel Zero Sharding Recompute GradientMerge Offload AMP DGC LocalSGD Wide&Deep
LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training
Visualizer for large-scale and interactive ray-tracing of neurons
[CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
GPU atmosphertic scattering and planet generation in Unity 3D
Model reduction library with an emphasis on large scale parallelism and linear subspace methods
Paddle Large Scale Classification Tools,supports ArcFace, CosFace, PartialFC, Data Parallel + Model Parallel. Model includes ResNet, ViT, DeiT, CaiT, FaceViT, MoCo, MAE.
FFHQR -- the first large-scale retouching dataset for computer vision research.
GPU-based large scale Approx. Nearest Neighbor Search, accepted at CVPR 2016
PhotoSynth Dataset for improving local patch Descriptors
Structured optimization in Julia
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