Alternatives and similar repositories for awesome-machine-learning

Users that are interested in awesome-machine-learning are comparing it to the libraries listed below

• MLaPP-Solution-Manual / Solutions-to-Machine-Learning-A-Probabilistic-Perspective-
  Solutions to "Machine Learning: A Probabilistic Perspective"
  ☆164Updated 4 years ago
• PKUAI26 / Deep-Learning-Advanced-Topics
  ☆154Updated 5 years ago
• guyulongcs / Awesome-Self-supervised-Learning-papers
  Awesome Self-supervised papers in CV, NLP, Graph, Recommendation, ML and so on.
  ☆39Updated 4 years ago
• yzhao062 / awesome-ensemble-learning
  Ensemble learning related books, papers, videos, and toolboxes
  ☆307Updated 6 years ago
• LFhase / Learning_CS224w
  My approach to CS224w [AT] Stanford 2019 : )
  ☆122Updated 5 years ago
• ZJUGuoShuai / MachineLearningLectureNotes
  张志华机器学习导论 MOOC 讲义
  ☆129Updated 3 years ago
• econti / cs229
  Stanford CS229 (Autumn 2017)
  ☆373Updated 8 years ago
• JayYip / deep-learning-nlp-notes
  深度学习和NLP随笔
  ☆27Updated 6 years ago
• xbresson / CE7454_2018
  Deep learning course CE7454, 2018
  ☆79Updated 6 years ago
• ECNUdase / Seminar-PRML
  《Pattern Recognition and Machine Learning》阅读讨论班
  ☆35Updated 6 years ago
• shuhuai007 / GNNPapers
  Must-read papers on graph neural networks (GNN)
  ☆25Updated 6 years ago
• AlphaOneSrc / SuperMachineLearningNotes
  Super-Machine-Learning-Revision-Notes
  ☆76Updated 6 years ago
• AceCoooool / MLF-MLT
  机器学习基石和机器学习技法作业
  ☆119Updated 6 years ago
• elayrocks / SimpleMachineLearning
  Machine learning is supposed to be simple~
  ☆33Updated 7 years ago
• deeplearning-math / deeplearning-math.github.io
  A Course on Mathematical Theories of Deep Learning
  ☆79Updated 5 years ago
• dlg4nlp / dlg4nlp.github.io
  This website is to host a series of tutorials on Deep Learning on Graphs for Natural Language Processing.
  ☆13Updated 3 years ago
• tangjianpku / tangjianpku.github.io
  Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
  ☆63Updated 3 months ago
• LARS-research / AutoML-Tutorial
  Tutorials about AutoML
  ☆87Updated 3 years ago
• vivienzou1 / DL-Notes-for-Interview
  deep learning/ machine learning
  ☆366Updated 2 years ago
• floatingCatty / BAAI-Monthly-
  Comprehensive and precise reviews of advance AI subfields.
  ☆56Updated 5 years ago
• mcgrady20150318 / BayesianNeuralNetwork
  a repo sharing Bayesian Neural Network recent papers
  ☆216Updated 6 years ago
• WangYang-wy / Machine-Learning-Foundations-and-Techniques
  Coursera 机器学习基石 机器学习技法 林轩田 课堂PPT、作业及课堂笔记。
  ☆163Updated 7 years ago
• Causal-Inference-ZeroToAll / causality4ml
  把因果思维融入机器学习中
  ☆81Updated 6 years ago
• cycleuser / MLAPP-CN
  A Chinese Notes of MLAPP，MLAPP 中文笔记项目 https://zhuanlan.zhihu.com/python-kivy
  ☆363Updated 4 years ago
• THUDM / ScenarioMeta
  Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"
  ☆81Updated last year
• fly51fly / Principle_of_Web_Search_2020
  北邮《网络搜索原理》课程(2020)
  ☆104Updated 5 years ago
• niudd / kaggle-cloud
  ☆121Updated 6 years ago
• AmazaspShumik / mtlearn
  Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)
  ☆52Updated 6 years ago
• Leputa / Machine-Learning-Foundations-Techniques
  ☆110Updated 7 years ago
• yhangf / ML-NOTE
  慢慢整理所学的机器学习算法，并根据自己所理解的样子叙述出来。(注重数学推导)
  ☆674Updated 3 years ago