Making large AI models cheaper, faster and more accessible
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Updated
Oct 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
ActiveRecord PostgreSQL Adapter extension for using a cursor to return a large result set
🔥Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)
Phi tưởng đại mô hình khai phát sáo kiện, đề cung đại ngữ ngôn mô hình, khóa mô thái đại mô hình, sinh vật kế toán đại mô hình đẳng lĩnh vực đích toàn lưu trình khai phát công cụ liên.
LiBai( lý bạch ): 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
📈 Feature scoped Vuex modules to have a better organization of business logic code inside Vuex modules based on Large-scale Vuex application structures@3YOURMIND
DSIR large-scale data selection framework for language model training
Data-driven model reduction library with an emphasis on large scale parallelism and linear subspace methods
GPU atmosphertic scattering and planet generation in Unity 3D
[MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train
🏆 A weekly updated ranked list of popular open-source libraries and tools for Power System Analysis.
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.
FFHQR -- the first large-scale retouching dataset for computer vision research.
Las Vegas Reconstruction 2.0
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