A Reproduction of GDM's Nested Learning Paper

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch…

Best practices & guides on how to write distributed pytorch training code

Relevance Prediction in E-commerce Product Search

First-of-its-kind platform that combines multi-agent reinforcement learning with real-time market analysis to provide data-driven bidding recommendations that maximize both win probability and prof…

Efficient Triton Kernels for LLM Training

Examples for Recommenders - easy to train and deploy on accelerated infrastructure.

Meridian is an MMM framework that enables advertisers to set up and run their own in-house models.

`std::execution`, the proposed C++ framework for asynchronous and parallel programming.

Netease Youdao's open-source embedding and reranker models for RAG products.

Gigantic Graph Learning (GiGL) Framework: Large-scale training and inference for Graph Neural Networks

Easier audio-based machine learning with TensorFlow.

From 1,000,000 Users to Every User: Scaling Up Personalized Preference for User-level Alignment

An easy-to-use framework for large scale recommendation algorithms.

python并发学习调研过程

A Go web framework for quickly building recommendation online services based on JSON configuration.

GLake: optimizing GPU memory management and IO transmission.

FeatInsight is a feature platform based on OpenMLDB

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Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT,Cross Encoder

A modular graph-based Retrieval-Augmented Generation (RAG) system

OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.