A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）

精选机器学习，NLP，图像识别， 深度学习等人工智能领域学习资料，搜索，推荐，广告系统架构及算法技术资料整理。算法大牛笔记汇总

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

Automated Redpill Loader

Inference code for Llama models

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Source code for Twitter's Recommendation Algorithm

Source code for Twitter's Recommendation Algorithm

Implementation of the Lion optimizer in TensorFlow from https://arxiv.org/abs/2302.06675

A high performance and generic framework for distributed DNN training

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

A C# port of shadowsocks

Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.

A framework for large scale recommendation algorithms.

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

RedisShake is a Redis data processing and migration tool.

TensorFlow tutorials and best practices.

brpc is an Industrial-grade RPC framework using C++ Language, which is often used in high performance system such as Search, Storage, Machine learning, Advertisement, Recommendation etc. "brpc" mea…

Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction

A lightweight parameter server interface

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

A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.

Code for paper 'Exact-K Recommendation via Maximal Clique Optimization'

cuML - RAPIDS Machine Learning Library

Recommender system based on Flink and Reinforcement Learning

Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

🎨 Python Echarts Plotting Library