Making large AI models cheaper, faster and more accessible
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Updated
Jun 21, 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。
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
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.
[MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train
An efficient 3D semantic segmentation framework for Urban-scale point clouds like SensatUrban, Campus3D, etc.
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 face database for large scale face recognition
Welcome to D-BAS! This is a prototype of our dialog-based argumentation system.
This is the official development repository for BaseVar, which call variants for large-scale ultra low-pass (<1.0x) WGS data, especially for NIPT data
[DEPRECEATED] Multi-Instrumental Music Transformer trained on 12GB/400k MIDIs
Pytorch implementation of "Large-Scale Meta-Learning with Continual Trajectory Shifting" (ICML 2021)
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