Alternatives and similar repositories for awesome-machine-learning

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

• xbresson / CE7454_2018
  Deep learning course CE7454, 2018
  ☆79Updated 6 years ago
• MLaPP-Solution-Manual / Solutions-to-Machine-Learning-A-Probabilistic-Perspective-
  Solutions to "Machine Learning: A Probabilistic Perspective"
  ☆162Updated 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.
  ☆38Updated 4 years ago
• econti / cs229
  Stanford CS229 (Autumn 2017)
  ☆366Updated 7 years ago
• LFhase / Learning_CS224w
  My approach to CS224w [AT] Stanford 2019 : )
  ☆122Updated 4 years ago
• floatingCatty / BAAI-Monthly-
  Comprehensive and precise reviews of advance AI subfields.
  ☆56Updated 4 years ago
• AlphaOneSrc / SuperMachineLearningNotes
  Super-Machine-Learning-Revision-Notes
  ☆75Updated 5 years ago
• niudd / kaggle-cloud
  ☆121Updated 5 years ago
• mtsang / interaction_interpretability
  Feature Interaction Interpretability via Interaction Detection
  ☆35Updated 2 years ago
• ECNUdase / Seminar-PRML
  《Pattern Recognition and Machine Learning》阅读讨论班
  ☆35Updated 6 years ago
• nw2190 / TensorFlow_Examples
  Collection of TensorFlow Examples
  ☆37Updated 7 years ago
• Causal-Inference-ZeroToAll / causality4ml
  把因果思维融入机器学习中
  ☆81Updated 5 years ago
• yousuketakada / prml_errata
  More PRML Errata
  ☆80Updated 2 years ago
• ixxi-dante / an2vec
  Bringing node2vec and word2vec together for cool stuff
  ☆22Updated 5 years ago
• rjurney / weakly_supervised_learning_code
  The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney
  ☆36Updated 4 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
• yihong-chen / lambda-opt
  Pytorch implementation of λOpt: Learn to Regularize Recommender Models in Finer Levels, KDD 2019
  ☆53Updated 5 years ago
• Matrix-Factorization-Bandit / IMFB-KDD2019
  Code for the experiments of Matrix Factorization Bandit
  ☆24Updated 6 years ago
• deeplearning-math / deeplearning-math.github.io
  A Course on Mathematical Theories of Deep Learning
  ☆79Updated 4 years ago
• PurdueMINDS / GNNsMiscalibrated
  ☆16Updated 5 years ago
• tangjianpku / tangjianpku.github.io
  Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
  ☆62Updated last year
• yzhao062 / awesome-ensemble-learning
  Ensemble learning related books, papers, videos, and toolboxes
  ☆299Updated 5 years ago
• ZJUGuoShuai / MachineLearningLectureNotes
  张志华机器学习导论 MOOC 讲义
  ☆130Updated 3 years ago
• THUDM / ScenarioMeta
  Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"
  ☆81Updated last year
• graytowne / rank_distill
  A PyTorch implementation of Ranking Distillation
  ☆90Updated 5 years ago
• ZhengZixiang / ATPapers
  Worth-reading papers and related resources on attention mechanism, Transformer and pretrained language model (PLM) such as BERT. 值得一读的注意力…
  ☆130Updated 4 years ago
• Nativeatom / NaturalLanguageProcessing
  Natural Language Procesing
  ☆35Updated 4 years ago
• Rosevil1874 / LeetCode-Solution-Python-Java
  solution of LeetCode by Python & Java
  ☆49Updated 5 years ago
• Atcold / SP19-DL-collaborative-notes
  Collaborative lecture notes for Spring '19 NYU DL class
  ☆119Updated 5 years ago