DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling

An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention & RFT)

FlashMLA: Efficient MLA decoding kernels

DeepEP: an efficient expert-parallel communication library

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

dpo算法实现

A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

Recommender system based on Flink and Reinforcement Learning

动手学强化学习代码

Advanced Retrieval Algorithms for Decomposing Large-Scale Candidate Set into Pieces.

A flexible, high-performance framework for large-scale retrieval problems based on TensorFlow.

DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.

AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.

LLM training in simple, raw C/CUDA

Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI …

Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.

Dynamically get the suggested clusters in the data for unsupervised learning.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

A D3-based renderer for Dagre

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

Simple Tensorflow implementation of "On the Convergence of Adam and Beyond" (ICLR 2018)

The source code and dataset about <Deep Learning - Best Practices on TensorFlow Engineering Implementation>

A tiny boost library in C++11.

Source-to-Source Debuggable Derivatives in Pure Python

Classical RecSys algorithms implemented by using TensorFlow Estimators