Youarerare's Stars
allenai/RL4LMs
A modular RL library to fine-tune language models to human preferences
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
duxy-me/MTPR
Experimental codes for the paper 'How to Learn Item Representation for Cold-Start Multimedia Recommendation?'
LiangjunFeng/Machine-Learning
Basic algorithms about machine learnig
zhengjingwei/machine-learning-interview
算法工程师-机器学习面试题总结
CharlesPikachu/Games
Games: Create interesting games in pure python.
BestActionNow/CVAR
princewen/tensorflow_practice
tensorflow实战练习,包括强化学习、推荐系统、nlp等
layerism/TensorRT-Inference-Server-Tutorial
服务侧深度学习部署案例
ZiyaoGeng/RecLearn
Recommender Learning with Tensorflow2.x
official-stockfish/nnue-pytorch
Stockfish NNUE (Chess evaluation) trainer in Pytorch
seatgeek/thefuzz
Fuzzy String Matching in Python
bigear2021/user-churn
基于用户行为序列的流失率预测
zyang1580/PDA
This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorflow..
ChenglongChen/tensorflow-DeepFM
Tensorflow implementation of DeepFM for CTR prediction.
PacktPublishing/Python-Feature-Engineering-Cookbook
Python Feature Engineering Cookbook, published by Packt
recsys-benchmark/DaisyRec-v2.0
CastellanZhang/alphaFM
Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.
tensorflow/serving
A flexible, high-performance serving system for machine learning models
alibaba/EasyRec
A framework for large scale recommendation algorithms.
The-Run-Philosophy-Organization/run
润学全球官方指定GITHUB,整理润学宗旨、纲领、理论和各类润之实例;解决为什么润,润去哪里,怎么润三大问题; 并成为新**人的核心宗教,核心信念。
cmd23333/BERT-Tensorflow2.x
A tensorflow 2.x BERT implementation using League of Legends myth data(Chinese).
wangshusen/RecommenderSystem
hsm207/fair-recsys
Code to implement a reranking method to improve recommendation diversity
yuanlonghao/reranking
To implement reranking techniques for recommendation system and search engine.
LibRerank-Community/LibRerank
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.
nusnlp/nbest-reranker
Re-rank n-best lists using additional features.
luweiagi/machine-learning-notes
This is the notes of the way of machine learning study. You may find something useful in it.
causal-machine-learning/kdd2021-tutorial
EconML/CausalML KDD 2021 Tutorial
THUDM/ComiRec
Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"