Alternatives and similar repositories for MATH5431

Users that are interested in MATH5431 are comparing it to the libraries listed below

• YuhangZhou88 / ESL_Solution
  ☆287Updated 3 years ago
• tengyuma / cs229m_notes
  ☆241Updated 3 years ago
• Dolores2333 / MATH5411
  All you need for MATH5411 Advanced Probability, 2020 Fall, HKUST, Lecturer BAO Zhigang.
  ☆56Updated 5 years ago
• leiwu0 / course.math_theory_nn
  Summer course on mathematical theory of deep learning
  ☆53Updated 6 years ago
• xie-lab-ml / deep-learning-dynamics-paper-list
  This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success o…
  ☆292Updated last year
• kellty / StatModel
  Statistical Modeling and Methods | PKU 2020 Spring
  ☆57Updated 3 years ago
• kjytay / stanford-stats
  My notes from class
  ☆75Updated 7 years ago
• WeiHuang05 / Awesome-Feature-Learning-in-Deep-Learning-Thoery
  Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…
  ☆205Updated last year
• kellty / multiSTAT
  Applied Multivariate Statistical Analysis | PKU 2019 Fall
  ☆90Updated 3 years ago
• Zhenyu-LIAO / RMT4ML
  Matlab Notebook for visualizing random matrix theory results and their applications to machine learning
  ☆135Updated 2 years ago
• cxh1996108 / Probability-Theory-and-Examples-5th-edition
  Solution and Useful Links
  ☆64Updated 3 years ago
• CausalDM / Causal-Decision-Making
  ☆42Updated 7 months ago
• xinychen / tensor-book
  张量计算系列教程 (Tensor Computations Tutorials)
  ☆137Updated last year
• csquires / 6.S091-causality
  ☆194Updated 2 years ago
• epfml / optML-pku
  summer school materials
  ☆46Updated 2 years ago
• apoorvalal / ding_causalInference_python
  python implementation of Peng Ding's "First Course in Causal Inference"
  ☆176Updated last year
• callmespring / RL-short-course
  Reinforcement Learning Short Course
  ☆87Updated 4 months ago
• MinghuiChen43 / awesome-deep-phenomena
  A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
  ☆385Updated last week
• saturn-lab / FBDQA-2021S
  Financial Big Data and Quantitative Analytics, Spring 2021.
  ☆92Updated 4 years ago
• statmlben / CUHK-STAT3009
  Recommender systems in Python
  ☆31Updated last month
• V1ncent19 / Statistics-Course-Summary-LaTeX
  ☆13Updated last year
• foocker / deeplearningtheory
  ☆261Updated 10 months ago
• yao-lab / yao-lab.github.io
  ☆45Updated last month
• vveitch / causality-tutorials
  Short tutorials on the use of machine learning methods for causal inference
  ☆50Updated 3 years ago
• JingzheShi / GaiLunGPT
  使用GPT协助完成"...概论", "...原理"等大学课程作业的方式汇总。An Aggregation of ways to use GPT to help with (noncritical) parts of homework assignments in some …
  ☆20Updated 2 years ago
• PKUFlyingPig / MIT18.330
  undergraduate numerical analysis course in MIT
  ☆46Updated 5 years ago
• Kaffaljidhmah2 / Arxiv-Recommender
  ☆50Updated 2 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
• ryantibs / statlearn-s24
  Course materials for Advanced Topics in Statistical Learning, Spring 2024
  ☆26Updated 6 months ago
• rphilipzhang / AI-PhD-S24
  Mono repo for the PhD course AI for Business Research (DSME 6635, S24)
  ☆112Updated last month