Alternatives and similar repositories for MATH5411

Users that are interested in MATH5411 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
• imirzadeh / awesome-causal-inference
  A (concise) curated list of awesome Causal Inference resources.
  ☆252Updated 3 years ago
• PKUAI26 / Deep-Learning-Advanced-Topics
  ☆155Updated 5 years ago
• udellgroup / orie7191
  Materials for ORIE 7191: Topics in Optimization for Machine Learning
  ☆46Updated 6 years ago
• Feryal / rl_mlss_2020
  ☆53Updated 5 years ago
• niaohe / Convex-Optimization-Course
  Repository for my convex optimization course.
  ☆53Updated 4 years ago
• benedekrozemberczki / spatiotemporal_datasets
  Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
  ☆62Updated 2 weeks ago
• prob140 / textbook
  UC Berkeley Data 140 Textbook
  ☆29Updated last week
• kjytay / stanford-stats
  My notes from class
  ☆75Updated 7 years ago
• tengyuma / cs229m_notes
  ☆241Updated 3 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆97Updated 3 years ago
• Causal-Inference-ZeroToAll / causality4ml
  把因果思维融入机器学习中
  ☆81Updated 6 years ago
• ivannz / mlss2019-bayesian-deep-learning
  MLSS2019 Tutorial on Bayesian Deep Learning
  ☆93Updated 6 years ago
• Dolores2333 / MATH5431
  All you need for MATH5431 Advanced Statistics I, 2020 Fall, HKUST, Lecturer JING Bingyi
  ☆33Updated 4 years ago
• 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
• ZizouHe / Machine-Learning
  Machine Learning Course Materials, Tsinghua IIIS
  ☆19Updated 7 years ago
• CausalDM / Causal-Decision-Making
  ☆42Updated 7 months ago
• debmandal / RL-Causality
  References at the Intersection of Causality and Reinforcement Learning
  ☆90Updated 5 years ago
• ZIYU-DEEP / Awesome-Papers-on-Combinatorial-Semi-Bandit-Problems
  A curated list on papers about combinatorial multi-armed bandit problems.
  ☆17Updated 4 years ago
• matthewvowels1 / Awesome-Causal-Inference
  A curated list of awesome work on causal inference, particularly in machine learning.
  ☆112Updated 4 years ago
• bradyneal / causal-inference-books
  Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…
  ☆60Updated 6 years ago
• brucejunlee / RMT_Theory_Applications
  some important properties on random matrix theory and its applications in multiple areas
  ☆110Updated 7 years ago
• yao-lab / yao-lab.github.io
  ☆45Updated last month
• CausalML / DeepGMM
  ☆39Updated 6 years ago
• ddbourgin / em
  Notes + notebooks on EM + variational EM algorithms for Bayesian methods tutorial
  ☆42Updated 7 years ago
• LFhase / Learning_CS224w
  My approach to CS224w [AT] Stanford 2019 : )
  ☆122Updated 5 years ago
• sailinglab / pgm-spring-2019
  Course webpage for PGM, Spring 2019.
  ☆76Updated 4 years ago
• Networks-Learning / strategic-decisions
  Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.
  ☆29Updated last year
• niaohe / Big-Data-Optimization-Course
  Repository for my Big Data Optimization course
  ☆37Updated 4 years ago
• tengyuma / stats205_notes
  the public repo for stats205 scribe notes at Stanford University
  ☆14Updated 4 years ago