Alternatives and similar repositories for CS7643-DeepLearning

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

• YuhangZhou88 / ESL_Solution
  ☆278Updated 2 years ago
• jayrobwilliams / jayrobwilliams.github.io
  Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
  ☆108Updated last year
• TianxueHu / CS7643_Deep_Learning
  CS7643 Deep Learning at Gatech
  ☆17Updated 4 years ago
• CausalAIBook / MetricsMLNotebooks
  Notebooks for Applied Causal Inference Powered by ML and AI
  ☆128Updated 5 months ago
• onmee / ISLR-Answers
  Solutions to exercises from Introduction to Statistical Learning (ISLR 1st Edition)
  ☆177Updated 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.
  ☆90Updated 6 years ago
• resteorts / modern-bayes
  Modern Bayesian statistics, STA 360/602, Duke University, Department of Statistical Science
  ☆78Updated this week
• jayelm / hoff-bayesian-statistics
  R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"
  ☆128Updated 5 years ago
• Chrisejorge / Causal-Inference
  Materials Collection for Causal Inference
  ☆47Updated 2 years ago
• kjytay / stanford-stats
  My notes from class
  ☆71Updated 7 years ago
• cliburn / sta-663-2021
  Computational Statistics and Statistical Computing
  ☆37Updated 4 years ago
• caojiguo / FDAcourse2019
  Slides and R codes for Functional Data Analysis Course
  ☆96Updated 5 years ago
• mohamedameen93 / CS-7642-Reinforcement-Learning-Notes
  In this repository, I will publish my notes for GaTech's Reinforcement Learning course CS7642.
  ☆37Updated 5 years ago
• jrfiedler / CASI_Python
  Python code for Computer Age Statistical Inference
  ☆52Updated 6 years ago
• davidrosenberg / ttml2021fall
  DS-GA 3001: Tools and Techniques for Machine Learning (NYU Fall 2021)
  ☆48Updated last year
• wangyt95 / LinearRegression-Notes
  For sharing purposes
  ☆27Updated last year
• callmespring / RL-short-course
  Reinforcement Learning Short Course
  ☆77Updated 2 weeks ago
• zzaym / Probabilistic-and-Bayesian-PCA
  Principal Component Analysis from a statistical perspective
  ☆32Updated 6 years ago
• ryantibs / timeseries-f23
  Course materials for Introduction to Time Series, Fall 2023
  ☆12Updated 8 months ago
• jaryaman / causal-inference-cheat-sheet
  Summary of useful results in Causal Inference
  ☆20Updated 4 years ago
• Peacock-Biscuit / data-science-fundamentals
  The repository is to document skills that a data scientist needs to acquire
  ☆19Updated 2 weeks ago
• Ci2Lab / Applied_Causal_Inference_Course
  This course is an overview of applied causal inference.
  ☆50Updated 3 months ago
• matejker / EssentialsOfStochasticProcesses
  Solutions and simulations from the Essentials of Stochastic Processes by Richard Durrett
  ☆34Updated 3 years ago
• kochbj / Deep-Learning-for-Causal-Inference
  Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…
  ☆335Updated 10 months ago
• christinaheinze / causality-course-ethz
  Code used in the causality course (401-4632-15) at ETH Zurich.
  ☆23Updated 6 years ago
• alanjeffares / elements-of-statistical-learning
  Documenting my progress as I work through The Elements of Statistical Learning book by T. Hastie, R. Tibshirani, and J. Friedman
  ☆59Updated 5 years ago
• greght / Workshop-Keras-DNN
  ☆15Updated 4 years ago
• chris-nemeth / sgmcmc-review-paper
  The code in this repository follows the paper "Stochastic gradient MCMC"
  ☆26Updated 6 years ago
• TimboKZ / ucl-csml-cheatsheets
  Cheat sheets for UCL's 2018/19 machine learning modules
  ☆63Updated 6 years ago
• areding / 6420-pymc
  Porting an OpenBUGS/MATLAB-based Bayesian statistics course to Python/PyMC.
  ☆30Updated 3 weeks ago