The official GitHub page for the survey paper "A Survey of Large Language Models".

Python Backtesting library for trading strategies

an unbias-learning-to-rank dataset of Baidu

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

QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

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.

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.

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)

The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)

Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arXiv:1802.04240 (2018).

MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.

面向北京码农同胞的从0开始的买房踩盘实录，目标只有一个: 每一分钱都花的明白(持续补充和完善ing…)

深度学习经典、新论文逐段精读

Open-source implementation of Google Vizier for hyper parameters tuning

[IJCV 2022] Bridging Composite and Real: Towards End-to-end Deep Image Matting

手写实现李航《统计学习方法》书中全部算法

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.

Implement Wide & Deep algorithm by using NumPy

Tensorflow implementations of various Deep Semantic Matching Models (DSMM).

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

RSTutorials: A Curated List of Must-read Papers on Recommender System.

一些非常有趣的python爬虫例子,对新手比较友好,主要爬取淘宝、天猫、微信、微信读书、豆瓣、QQ等网站。(Some interesting examples of python crawlers that are friendly to beginners. )

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