Alternatives and similar repositories for deep-learning-course

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

• epfml / OptML_course
  EPFL Course - Optimization for Machine Learning - CS-439
  ☆1,315Updated last month
• zhengqigao / PRML-Solution-Manual
  My Own Solution Manual of PRML
  ☆989Updated 4 years ago
• cvxpy / cvxpylayers
  Differentiable convex optimization layers
  ☆1,971Updated last week
• j-w-yun / optimizer-visualization
  Visualize Tensorflow's optimizers.
  ☆394Updated 7 years ago
• cvxgrp / cvxbook_additional_exercises
  Additional exercises and data for EE364a. No solutions; for public consumption.
  ☆743Updated 2 months ago
• DeepLearningDTU / 02456-deep-learning-with-PyTorch
  Exercises and supplementary material for the deep learning course 02456 using PyTorch.
  ☆330Updated 9 months ago
• machine-learning-interview-prep / CS229_ML
  🍟 Stanford CS229: Machine Learning
  ☆25Updated 6 years ago
• szagoruyko / pytorchviz
  A small package to create visualizations of PyTorch execution graphs
  ☆3,405Updated 7 months ago
• ritchieng / deep-learning-wizard
  Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
  ☆854Updated last month
• knazeri / coursera
  Coursera's Machine/Deep Learning assignments
  ☆54Updated last year
• taldatech / ee046211-deep-learning
  Jupyter Notebook tutorials for ECE 046211 Deep Learning course at the Technion
  ☆57Updated this week
• krashkov / Belief-Propagation
  Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum
  ☆174Updated 5 years ago
• haozheji / Discrete-time-Signal-Processing-Solution
  Discrete-time Signal Processing 3rd edition (Oppenheim)
  ☆249Updated 6 years ago
• TylerYep / torchinfo
  View model summaries in PyTorch!
  ☆2,830Updated last week
• FrancescoSaverioZuppichini / Pytorch-how-and-when-to-use-Module-Sequential-ModuleList-and-ModuleDict
  Code for my medium article
  ☆372Updated 4 years ago
• paperswithcode / releasing-research-code
  Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
  ☆2,827Updated 2 years ago
• gerdm / prml
  Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
  ☆2,398Updated 3 years ago
• jorditorresBCN / Deep-Reinforcement-Learning-Explained
  ☆94Updated 4 years ago
• khipu-ai / practicals-2023
  ☆30Updated 2 years ago
• cvxgrp / cvx_short_course
  Materials for a short course on convex optimization.
  ☆348Updated 2 months ago
• vbartle / MML-Companion
  This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…
  ☆284Updated 4 years ago
• liuhh02 / game-theory-coursera
  Lecture Slides, Notes and Problem Set Answers to the Game Theory course on Coursera by Stanford University and The University of British …
  ☆74Updated 5 years ago
• florist-notes / CS228_PGM
  🌲 Stanford CS 228 - Probabilistic Graphical Models
  ☆136Updated 11 months ago
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,090Updated last week
• IgorSusmelj / pytorch-styleguide
  An unofficial styleguide and best practices summary for PyTorch
  ☆1,994Updated 3 years ago
• mattjj / autodidact
  A pedagogical implementation of Autograd
  ☆988Updated 5 years ago
• bfortuner / ml-glossary
  Machine learning glossary
  ☆3,082Updated last year
• rll / deepul
  ☆811Updated 4 months ago
• deepgenerativemodels / notes
  Course notes
  ☆706Updated last year
• sksq96 / pytorch-summary
  Model summary in PyTorch similar to `model.summary()` in Keras
  ☆4,052Updated last year