Popular GitHub Repositories for Large Scale

Making large AI models cheaper, faster and more accessible

A high-performance distributed training framework for Reinforcement Learning

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

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

Data-driven model reduction library with an emphasis on large scale parallelism and linear subspace methods

[MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train

FFHQR -- the first large-scale retouching dataset for computer vision research.

BioDynaMo is a high-performance and modular, agent-based simulation platform.

An efficient 3D semantic segmentation framework for Urban-scale point clouds like SensatUrban, Campus3D, etc.

NeuroEvolution Optimization with Reinforcement Learning

Official implementation of Balanced Spherical Grid for Egocentric View Synthesis (CVPR 2023)

Overlapping community detection in Large-Scale Networks using BigCLAM model build on Apache Spark

[ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems

Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]

An AI-powered interactive video retrieval system

Stochastic Testing and Input Manipulation for Unbiased Learning Systems

A Really Scalable RL Framework to 10k+ CPUs

Welcome to D-BAS! This is a prototype of our dialog-based argumentation system.