Alternatives and similar repositories for CS7643-DeepLearning

Users that are interested in CS7643-DeepLearning are comparing it to the libraries listed below

• fangqin0703 / cs-7643-deep-learning
  Code for assignments of the graduate course CS 7643: Deep Learning offered at Georgia Tech in Fall 2018.
  ☆10Updated 7 years ago
• YuhangZhou88 / ESL_Solution
  ☆287Updated 3 years ago
• jayrobwilliams / jayrobwilliams.github.io
  Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
  ☆110Updated last year
• matejker / EssentialsOfStochasticProcesses
  Solutions and simulations from the Essentials of Stochastic Processes by Richard Durrett
  ☆39Updated 3 years ago
• Joseph94m / MCMC
  Implementation of Markov Chain Monte Carlo in Python from scratch
  ☆226Updated 5 years ago
• caojiguo / FDAcourse2019
  Slides and R codes for Functional Data Analysis Course
  ☆98Updated 6 years ago
• jayelm / hoff-bayesian-statistics
  R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"
  ☆131Updated 6 years ago
• callmespring / RL-short-course
  Reinforcement Learning Short Course
  ☆87Updated 4 months ago
• kjytay / stanford-stats
  My notes from class
  ☆75Updated 7 years ago
• CausalAIBook / MetricsMLNotebooks
  Notebooks for Applied Causal Inference Powered by ML and AI
  ☆143Updated 9 months ago
• onmee / ISLR-Answers
  Solutions to exercises from Introduction to Statistical Learning (ISLR 1st Edition)
  ☆176Updated 3 years ago
• Chrisejorge / Causal-Inference
  Materials Collection for Causal Inference
  ☆47Updated 2 years ago
• ryantibs / timeseries-f23
  Course materials for Introduction to Time Series, Fall 2023
  ☆12Updated last year
• Peacock-Biscuit / data-science-fundamentals
  The repository is to document skills that a data scientist needs to acquire
  ☆19Updated 4 months ago
• jrfiedler / CASI_Python
  Python code for Computer Age Statistical Inference
  ☆51Updated 6 years ago
• leowyy / mcmc-importance-sampling
  Markov Chain Monte Carlo (MCMC) and importance sampling in the context of Bayesian linear regression
  ☆11Updated 7 years ago
• stxupengyu / Stochastic-Process-Ross-2nd-edition
  Here is the exercise solution of stochastic process Ross 2nd Edition collected by the author. The answers are from the stochastic process…
  ☆46Updated 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.
  ☆91Updated 6 years ago
• cliburn / sta-663-2021
  Computational Statistics and Statistical Computing
  ☆37Updated 4 years ago
• jsharpna / DavisSML
  ☆79Updated last year
• vveitch / causality-tutorials
  Short tutorials on the use of machine learning methods for causal inference
  ☆50Updated 3 years ago
• fonnesbeck / gp_regression
  A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
  ☆165Updated 4 years ago
• kkarrancsu / copula-short-course
  ☆39Updated last year
• wangyt95 / LinearRegression-Notes
  For sharing purposes
  ☆27Updated last year
• phdinds-aim / time_series_handbook
  ☆180Updated 3 years ago
• niuers / Learning-From-Data-A-Short-Course
  Solutions to the exercises and problems in the book: Learn From Data_A Short Course by Yaser Abu-Mostafa, Malik Magdon-Ismail and Hsuan-T…
  ☆251Updated 3 years ago
• areding / 6420-pymc
  Porting an OpenBUGS/MATLAB-based Bayesian statistics course to Python/PyMC.
  ☆31Updated this week
• MikeS96 / bayes_statististics
  Bayesian Statistics MOOC by Coursera - Solutions in Python
  ☆32Updated last year
• PacktPublishing / Bayesian-Analysis-with-Python-Second-Edition
  Bayesian Analysis with Python - Second Edition, published by Packt
  ☆137Updated 4 years ago
• XiaoouPan / adaHuber
  Tuning-Free Huber Regression
  ☆15Updated 3 years ago