Alternatives and similar repositories for MLinPractice

Users that are interested in MLinPractice are comparing it to the libraries listed below

• vbartle / MML-Companion
  This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…
  ☆296Updated 5 years ago
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆90Updated 6 years ago
• shiernee / Advanced_ML
  ☆89Updated 2 years ago
• csquires / 6.S091-causality
  ☆194Updated 2 years ago
• rishabhk108 / AdvancedOptML
  CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
  ☆181Updated 4 years ago
• leehanchung / cs182
  Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks
  ☆86Updated 3 years ago
• dobriban / Topics-In-Modern-Statistical-Learning
  Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…
  ☆177Updated last year
• FJRubio67 / StatisticalInference
  Lecture Notes on Statistical Inference
  ☆77Updated last year
• dssg / mlforpublicpolicylab
  Repo for ML for Public Policy Lab course at CMU
  ☆119Updated this week
• dobriban / stat-ml-edu
  Resources for education in statistics and machine learning: from advanced undergraduate to research level
  ☆103Updated last year
• uu-sml / course-sml-public
  Course material for 1RT700 Statistical Machine Learning
  ☆64Updated this week
• rasbt / stat451-machine-learning-fs21
  ☆151Updated 3 years ago
• chelseaparlett / CPSC393ParlettPelleriti
  ☆108Updated last year
• probml / probml-notebooks
  Notebooks for "Probabilistic Machine Learning" book
  ☆202Updated 3 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆94Updated 2 years ago
• xbresson / CS5242_2021
  Neural Networks and Deep Learning, NUS CS5242, 2021
  ☆191Updated 4 years ago
• shervinmin / awesome-deep-learning-survey-papers
  In this page, I will provide a list of survey papers on topics related to deep learning and its applications in various fields.
  ☆127Updated last year
• talwarabhimanyu / my-solutions-The-Elements-of-Statistical-Learning
  My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.
  ☆91Updated 6 years ago
• davidrosenberg / ttml2021fall
  DS-GA 3001: Tools and Techniques for Machine Learning (NYU Fall 2021)
  ☆48Updated last year
• muandet-lab / ipml-course
  A course on imprecise probabilistic machine learning
  ☆112Updated this week
• bradyneal / causal-book-code
  ☆81Updated 5 years ago
• AlessandroCorradini / Stanford-University-Statistical-Learning
  Repo for Statistical Learning course offered by Stanford University
  ☆50Updated 6 years ago
• florist-notes / CS228_PGM
  🌲 Stanford CS 228 - Probabilistic Graphical Models
  ☆150Updated last year
• data-psl / lectures2020
  ☆48Updated 2 years ago
• kyunghyuncho / 2024-causal-inference-machine-learning
  ☆29Updated last year
• cfgranda / math-tools-nyu
  DS-GA 1013 Mathematical Tools for Data Science
  ☆52Updated 4 years ago
• AstraZeneca / awesome-shapley-value
  Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
  ☆153Updated 3 years ago
• dbamman / anlp21
  Data and code to support "Applied Natural Language Processing" (INFO 256, Fall 2021, UC Berkeley)
  ☆56Updated 3 years ago
• ctanujit / MATH350
  Statistical Inference Course
  ☆43Updated last year
• acecreamu / ai-residency
  Example of a Cover letter for AI Residency
  ☆80Updated 5 years ago