Alternatives and similar repositories for MATH5411:

Users that are interested in MATH5411 are comparing it to the libraries listed below

• Dolores2333 / MATH5431
  All you need for MATH5431 Advanced Statistics I, 2020 Fall, HKUST, Lecturer JING Bingyi
  ☆29Updated 3 years ago
• kjytay / stanford-stats
  My notes from class
  ☆63Updated 6 years ago
• ZizouHe / Machine-Learning
  Machine Learning Course Materials, Tsinghua IIIS
  ☆15Updated 6 years ago
• CausalDM / Causal-Decision-Making
  ☆26Updated 4 months ago
• niaohe / Convex-Optimization-Course
  Repository for my convex optimization course.
  ☆52Updated 4 years ago
• yuany-pku / 2018_math4432
  This is the course-web for Math 4432, Statistical Machine Learning, Spring 2018, HKUST.
  ☆9Updated 6 years ago
• MLaPP-Solution-Manual / Solutions-to-Machine-Learning-A-Probabilistic-Perspective-
  Solutions to "Machine Learning: A Probabilistic Perspective"
  ☆158Updated 3 years ago
• leiwu0 / course.math_theory_nn
  Summer course on mathematical theory of deep learning
  ☆52Updated 5 years ago
• kellty / multiSTAT
  Applied Multivariate Statistical Analysis | PKU 2019 Fall
  ☆89Updated 2 years ago
• davidrosenberg / ttml2021fall
  DS-GA 3001: Tools and Techniques for Machine Learning (NYU Fall 2021)
  ☆45Updated last year
• kellty / StatModel
  Statistical Modeling and Methods | PKU 2020 Spring
  ☆56Updated 2 years ago
• shenxiangzhuang / lifelong
  Lifelong Learning
  ☆21Updated 2 years ago
• udellgroup / orie7191
  Materials for ORIE 7191: Topics in Optimization for Machine Learning
  ☆43Updated 5 years ago
• tengyuma / stats205_notes
  the public repo for stats205 scribe notes at Stanford University
  ☆13Updated 3 years ago
• saturn-lab / FBDQA-2021S
  Financial Big Data and Quantitative Analytics, Spring 2021.
  ☆92Updated 3 years ago
• ZIYU-DEEP / Awesome-Papers-on-Combinatorial-Semi-Bandit-Problems
  A curated list on papers about combinatorial multi-armed bandit problems.
  ☆17Updated 3 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆95Updated 2 years ago
• tengyuma / cs229m_notes
  ☆222Updated 2 years ago
• LFhase / Learning_CS224w
  My approach to CS224w [AT] Stanford 2019 : )
  ☆125Updated 4 years ago
• liangzp / LDP-Bandit
  This repository contains codes for paper: Generalized Linear Bandits with Local Differential Privacy by Yuxuan Han, Zhipeng Liang, Yang W…
  ☆16Updated 3 years ago
• prob140 / textbook
  ☆26Updated 2 months ago
• CausalML / DeepGMM
  ☆33Updated 5 years ago
• ivannz / mlss2019-bayesian-deep-learning
  MLSS2019 Tutorial on Bayesian Deep Learning
  ☆92Updated 5 years ago
• hduongtrong / ST210A
  Homework for STAT 210A - Berkeley
  ☆28Updated 10 years ago
• benedekrozemberczki / spatiotemporal_datasets
  Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
  ☆60Updated 11 months ago
• imirzadeh / awesome-causal-inference
  A (concise) curated list of awesome Causal Inference resources.
  ☆228Updated 2 years ago
• bangdasun / statistical-machine-learning
  STAT GR5241 Statistical Machine Learning taught by Professor Linxi Liu. Here I also include some other sources of machine learning materi…
  ☆7Updated 5 years ago
• liaopeiyuan / GAL
  [ICML 2021] Information Obfuscation of Graph Neural Networks
  ☆36Updated 3 years ago
• ZhuoruLin / DSGA1003_ML
  NYU Data Science Course DSGA-1003 Machine Learning Assignments.
  ☆30Updated 7 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.
  ☆90Updated 5 years ago