Easy Data Preparation with latest LLMs-based Operators and Pipelines.

Easy Data Preparation with latest LLMs-based Operators and Pipelines.

A comprehensive guide for beginners in the field of data management and artificial intelligence.

Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

Galvatron is an automatic distributed training system designed for Transformer models, including Large Language Models (LLMs). If you have any interests, please visit/star/fork https://github.com/P…

Galvatron is an automatic distributed training system designed for Transformer models, including Large Language Models (LLMs).

A curated reading list of research in Mixture-of-Experts(MoE).

[IJCAI2023] An automated parallel training system that combines the advantages from both data and model parallelism. If you have any interests, please visit/star/fork https://github.com/Youhe-Jiang…

A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)

A high-performance distributed deep learning system targeting large-scale and automated distributed training.

[CVPR 2022] PointCLIP: Point Cloud Understanding by CLIP

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, please visit/star/fork https://github.com/PKU-DAIR/Hetu

Towards Generalized and Efficient Blackbox Optimization System/Package (KDD 2021 & JMLR 2024)

Generalized and Efficient Blackbox Optimization System.

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

The Julia Programming Language

Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

😎 Awesome lists about all kinds of interesting topics

A Detailed Cplusplus Concurrency Tutorial 《C++ 并发编程指南》

LIBSVM -- A Library for Support Vector Machines

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

A Flexible and Powerful Parameter Server for large-scale machine learning

The simulator of RISC-V, implemented by C++