Alternatives and similar repositories for CS4243_2022:

Users that are interested in CS4243_2022 are comparing it to the libraries listed below

• xbresson / CS5242_2021
  Neural Networks and Deep Learning, NUS CS5242, 2021
  ☆188Updated 3 years ago
• xbresson / CS6208_2023
  Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
  ☆320Updated last year
• davidstutz / pytorch-adversarial-examples-training-articles
  PyTorch code corresponding to my blog series on adversarial examples and (confidence-calibrated) adversarial training.
  ☆68Updated last year
• rishabhk108 / AdvancedOptML
  CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
  ☆175Updated 3 years ago
• Atcold / NYU-DLFL22
  NYU Deep Learning Fall 2022
  ☆55Updated 5 months ago
• philipphennig / Probabilistic_ML
  Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
  ☆145Updated last year
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆75Updated 6 years ago
• tilman151 / unittest_dl
  Example unit tests for deep learning projects.
  ☆36Updated 4 years ago
• AakashKumarNain / TF_JAX_tutorials
  All about the fundamental blocks of TF and JAX!
  ☆274Updated 3 years ago
• AakashKumarNain / diffusion_models
  All about the fundamentals and working of Diffusion Models
  ☆152Updated 2 years ago
• kushagra06 / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆122Updated 6 years ago
• HHU-MMBS / RepresentationLearning_SS2023
  Representation Learning MSc course Summer Semester 2023
  ☆73Updated last year
• Johann-Huber / batchnorm_pytorch
  A simple implementation of Batch Normalization using pytorch.
  ☆44Updated 4 years ago
• xbresson / GML2023
  Graph Machine Learning course, Xavier Bresson, 2023
  ☆600Updated 5 months ago
• acecreamu / ai-residency
  Example of a Cover letter for AI Residency
  ☆80Updated 5 years ago
• bentrevett / a-tour-of-pytorch-optimizers
  A tour of different optimization algorithms in PyTorch.
  ☆95Updated 3 years ago
• mnslarcher / cs224w-slides-to-code
  ☆58Updated 3 years ago
• Subhajit135 / CS236_DGM
  🦍 Stanford CS236 : Deep Generative Models
  ☆124Updated 6 years ago
• Atcold / cs-video-courses
  List of Computer Science courses with video lectures.
  ☆24Updated 2 years ago
• sscardapane / reprodl2021
  Host repository for the "Reproducible Deep Learning" PhD course
  ☆407Updated 2 years ago
• M2Lschool / tutorials2022
  The M2L school 2022 tutorials
  ☆36Updated 2 years ago
• Mayurji / MLWithPytorch
  Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch
  ☆131Updated 3 years 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…
  ☆265Updated 4 years ago
• Machine-Learning-Tokyo / __init__
  ☆136Updated 2 years ago
• lucasrm25 / Probabilistic-Machine-Learning
  Repository for the course Probabilistic Machine Learning at Tübingen University
  ☆24Updated 4 years ago
• leehanchung / cs182
  Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks
  ☆83Updated 2 years ago
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆174Updated 2 years ago
• The-AI-Summer / learn-deep-learning
  AI Summer's complete catalog of articles
  ☆109Updated 3 years ago
• AndrewSpano / Disentangled-Variational-Autoencoder
  PyTorch Implementations of a VAE and a beta-VAE.
  ☆60Updated 4 years ago
• clam004 / intro_continual_learning
  This is a tutorial to connect the fundamental mathematics to a practical implementation addressing the continual learning problem of arti…
  ☆362Updated last year