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The simplest, fastest repository for training/finetuning medium-sized GPTs.
Code for paper 'Exact-K Recommendation via Maximal Clique Optimization'
A TensorFlow Implementation of the Transformer: Attention Is All You Need
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。
Transformer related optimization, including BERT, GPT
TensorFlow code and pre-trained models for BERT
PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
2021年最新总结，推荐工程师合适读本，计算机科学，软件技术，创业，思想类，数学类，人物传记书籍
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）
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
Paper List for Recommend-system PreTrained Models
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EGRerank, Seq2Slate.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
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.
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
Source code for Twitter's Recommendation Algorithm