Accagain2014

Accagain2014's Stars

• RUCAIBox/LLMSurvey

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

  Language:Python10.7k837

• mementum/backtrader

  Python Backtesting library for trading strategies

  Language:Python15.4k4.1k

• Leavingseason/xDeepFM

  Language:Python746219

• wangshusen/RecommenderSystem

  2.7k396

• ChuXiaokai/baidu_ultr_dataset

  an unbias-learning-to-rank dataset of Baidu

  Language:Python608

• CastellanZhang/alphaFM

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

  Language:C++894275

• wangzhegeek/DSSM-Lookalike

  Language:Python19656

• Coder-Yu/QRec

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

  Language:Python1.6k406

• alibaba/EasyRec

  A framework for large scale recommendation algorithms.

  Language:Python1.9k345

• DeepRec-AI/DeepRec

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

  Language:C++1.1k357

• 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.

  Language:Python23944

• scutan90/DeepLearning-500-questions

  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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript55.2k15.9k

• Qcactus/CPR

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

  Language:Python437

• tsinghua-fib-lab/CLSR

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

  Language:Python7219

• mveres01/pytorch-drl4vrp

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

  Language:Python462120

• easezyc/Multitask-Recommendation-Library

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

  Language:Python30049

• yangyiRunning/Beijing-House

  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…)

  59443

• mli/paper-reading

  深度学习经典、新论文逐段精读

  27.8k2.5k

• mouna99/dien

  Language:Python1.1k402

• tobegit3hub/advisor

  Open-source implementation of Google Vizier for hyper parameters tuning

  Language:Jupyter Notebook1.6k260

• JizhiziLi/GFM

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

  Language:Python930134

• Dod-o/Statistical-Learning-Method_Code

  手写实现李航《统计学习方法》书中全部算法

  Language:Python11.2k2.9k

• shenweichen/DeepMatch

  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.

  Language:Python2.3k534

• stasi009/NumpyWDL

  Implement Wide & Deep algorithm by using NumPy

  Language:Python15142

• ChenglongChen/tensorflow-DSMM

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

  Language:Python23077

• alvinwan/neural-backed-decision-trees

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

  Language:Python610130

• CoinCheung/pytorch-loss

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

  Language:Python2.2k374

• hongleizhang/RSPapers

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

  6.3k1.4k

• shengqiangzhang/examples-of-web-crawlers

  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. )

  Language:Python14k3.8k

• wubinzzu/NeuRec

  Next RecSys Library

  Language:Python1.1k219