Alternatives and similar repositories for all_of_statistics_solns:

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

• stappit / all-of-statistics
  Solutions to Wasserman's 'All of Statistics'.
  ☆103Updated 5 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
• debmandal / causality-fairness
  References for Papers at the Intersection of Causality and Fairness
  ☆18Updated 6 years ago
• mtsang / interaction_interpretability
  Feature Interaction Interpretability via Interaction Detection
  ☆34Updated last year
• dglai / dgl_winter_school
  ☆31Updated 4 years ago
• yazdotai / machine-learning-video-courses
  Comprehensive list of machine learning videos
  ☆38Updated 6 years ago
• tengyuma / stats205_notes
  the public repo for stats205 scribe notes at Stanford University
  ☆13Updated 3 years ago
• chongyangma / cs231n
  Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
  ☆36Updated 6 years ago
• kushagra06 / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆122Updated 6 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆94Updated 2 years ago
• dssg / MLinPractice
  Repository for ML in Practice Course at CMU (10-718)
  ☆58Updated last year
• Harvard-IACS / 2019-CS109B
  ☆62Updated 5 years ago
• tengyuma / cs229m_notes
  ☆220Updated 2 years ago
• yousuketakada / prml_errata
  More PRML Errata
  ☆80Updated 2 years ago
• Trinkle23897 / CS294-112
  CS 294-112 @ UCB Deep RL
  ☆23Updated last year
• blei-lab / deconfounder_tutorial
  ☆87Updated 4 years ago
• buruzaemon / IntroductionToProbabilityPy
  Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition
  ☆72Updated 5 years ago
• leiwu0 / course.math_theory_nn
  Summer course on mathematical theory of deep learning
  ☆52Updated 5 years ago
• ikinsella / AdvML-Fall-18
  A collection of useful files for the Advanced Machine Learning (GR5242) Fall 2018 course.
  ☆32Updated 6 years ago
• lwehbe / 10606607_M20
  ☆14Updated 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…
  ☆58Updated 5 years ago
• shiernee / Advanced_ML
  ☆78Updated last year
• jsyoon0823 / INVASE
  Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR
  ☆60Updated 4 years ago
• florist-notes / CS228_PGM
  🌲 Stanford CS 228 - Probabilistic Graphical Models
  ☆118Updated 5 months ago
• LFhase / Learning_CS224w
  My approach to CS224w [AT] Stanford 2019 : )
  ☆125Updated 4 years ago
• riven314 / All-of-Statistics-Exercises
  This repo documents some of my drafted solutions to the exercises from All of Statistics by Larry Wasserman. This repo only contains solu…
  ☆18Updated 6 years ago
• gizemt / CausalRecommendation
  Causal inference for recommendation
  ☆23Updated 6 years ago
• ioanabica / Counterfactual-Recurrent-Network
  Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…
  ☆58Updated 10 months ago
• grobgl / rnnsm
  ☆18Updated 7 years ago
• equialgo / fairness-in-ml
  This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.
  ☆117Updated 3 years ago