Alternatives and similar repositories for deep-learning-with-pytorch

Users that are interested in deep-learning-with-pytorch are comparing it to the libraries listed below

• JesperDramsch / ml.recipes
  Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tut…
  ☆75Updated 3 weeks ago
• conorosully / medium-articles
  Code used to obtain results for my medium articles
  ☆75Updated 2 years ago
• TomasBeuzen / python-programming-for-data-science
  Content from the University of British Columbia's Master of Data Science course DSCI 511.
  ☆96Updated 2 years ago
• alexjungaalto / MachineLearningTheBasics
  Working files for the textbook project "Machine Learning. The Basics"
  ☆122Updated 3 weeks ago
• rasbt / stat451-machine-learning-fs21
  ☆151Updated 3 years ago
• ghiffaryr / grplot
  ☆35Updated last year
• rileypsmith / sklearn-som
  A simple, rectangular self-organizing map with methods similar to clustering methods in Scikit Learn.
  ☆81Updated 2 years ago
• rougier / 2021-Dataviz
  Material for dataviz course at university of Bordeaux
  ☆50Updated 3 years ago
• fonnesbeck / probabilistic_python
  PyData London 2022 Tutorial
  ☆68Updated 3 years ago
• erdogant / hnet
  Association ruled based networks using graphical Hypergeometric Networks.
  ☆32Updated 2 months ago
• smazzanti / are_you_still_using_elbow_method
  ☆150Updated 2 years ago
• FJRubio67 / StatisticalInference
  Lecture Notes on Statistical Inference
  ☆77Updated last year
• mohd-faizy / Probabilistic-Deep-Learning-with-TensorFlow
  Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…
  ☆71Updated last month
• TNanukem / paper_implementations
  This repository holds my paper implementations made for my studies and my content production
  ☆37Updated last year
• alan-turing-institute / rse-course
  Materials for The Alan Turing Institute's Research Software Engineering course
  ☆258Updated 6 months ago
• AllenDowney / BayesianDecisionAnalysis
  Repository for a workshop on Bayesian Decision Analysis
  ☆73Updated 2 years ago
• erdogant / pca
  pca: A Python Package for Principal Component Analysis.
  ☆326Updated 2 months ago
• rahul-raoniar / Rahul_Raoniar_Blogs
  Contains code and data for "The Researchers' Guide" Medium blogs
  ☆41Updated 2 years ago
• steveazzolin / gdl_tutorial_turinginst
  Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute
  ☆59Updated last year
• drazenz / heatmaps
  Better heatmaps in Python
  ☆136Updated 3 years ago
• csc-training / intro-to-dl
  Introduction to deep learning
  ☆53Updated last week
• derevirn / pycaret-book
  Repository for the book Simplifying Machine Learning with PyCaret.
  ☆67Updated 2 years ago
• matplotlib / GettingStarted
  Scipy 2019 Tutorial
  ☆36Updated 5 years ago
• AidanCooper / shap-analysis-guide
  How to Interpret SHAP Analyses: A Non-Technical Guide
  ☆56Updated 3 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• sm00thix / ikpls
  Fast CPU and GPU Python implementations of Improved Kernel Partial Least Squares (PLS) by Dayal and MacGregor (1997) and Fast Partition-B…
  ☆30Updated 3 months ago
• AllenDowney / BayesianInferencePyMC
  Workshop on Bayesian inference using PyMC
  ☆27Updated 4 years ago
• IlievskiV / Amusive-Blogging-N-Coding
  Open source code from the blog posts at
  ☆85Updated 2 years ago
• uu-sml / course-sml-public
  Course material for 1RT700 Statistical Machine Learning
  ☆64Updated 3 weeks ago
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆103Updated 2 years ago