Alternatives and similar repositories for probml-units

Users that are interested in probml-units are comparing it to the libraries listed below

• ilariavascotto / UL_2023_fall
  This repository is dedicated to the lab activities of the course of Unsupervised Learning @Units
  ☆9Updated last year
• AndrewSpano / Disentangled-Variational-Autoencoder
  PyTorch Implementations of a VAE and a beta-VAE.
  ☆60Updated 4 years ago
• FilippoMB / Diffusion_models_tutorial
  Collection of tutorials on diffusion models, step-by-step implementation guide, scripts for generating images with AI, prompt engineering…
  ☆122Updated 4 months ago
• BrianPulfer / PapersReimplementations
  Personal short implementations of Machine Learning papers
  ☆250Updated last year
• philipphennig / Probabilistic_ML
  Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
  ☆171Updated last year
• Ceyron / machine-learning-and-simulation
  All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.co…
  ☆1,037Updated 2 months ago
• emaballarin / deeplearning-units
  🧠🧑🏻‍💻 Repository for the Deep Learning course labs/practica (UniTS, Spring 2024)
  ☆36Updated last year
• explainingai-code / Dalle-Pytorch
  This repo implements and trains DallE-1 on a synthetically generated dataset which has colored mnist images on texture/solid background a…
  ☆12Updated 9 months ago
• NickKaparinos / Graph-Neural-Network-Projects
  Deep Learning Projects using Graph Neural Networks (GNNs).
  ☆35Updated 3 years ago
• xbresson / CS4243_2022
  Computer Vision and Pattern Recognition, NUS CS4243, 2022
  ☆171Updated 3 years ago
• amirabbasasadi / mathematics-computerscience-courses
  A collection of awesome mathematics and computer science courses
  ☆129Updated 7 months ago
• jmtomczak / intro_dgm
  "Deep Generative Modeling": Introductory Examples
  ☆1,209Updated 10 months ago
• Jackson-Kang / Pytorch-VAE-tutorial
  A simple tutorial of Variational AutoEncoders with Pytorch
  ☆402Updated last year
• julian-8897 / Conv-VAE-PyTorch
  Variational Autoencoder (VAE) in PyTorch
  ☆18Updated 11 months ago
• mayankgrwl97 / deep-unsupervised-learning-berkeley
  Deep Unsupervised Learning Course Tracking
  ☆9Updated 4 years ago
• ganselmif / adv-ml-units
  Repository for the Advanced Topics in Machine Learning practica (@ UniTS, Spring 2023)
  ☆18Updated 8 months ago
• deepgenerativemodels / notes
  Course notes
  ☆706Updated last year
• HaleTom / reinforcement_learning_specialisation_notes
  Notes from Reinforcement Learning Specialisaiton
  ☆9Updated 4 years ago
• debtanu177 / CVAE_MNIST
  Conditional VAE using CNN on MNIST in PyTorch
  ☆19Updated 5 years ago
• a-tierz / AMB_TINNs_tutorial
  ☆14Updated 10 months ago
• philipphennig / ProbML_Apps
  Apps (mostly streamlit) for the "Probabilistic Machine Learning" Lecture course at the University of Tübingen
  ☆27Updated last year
• mharbuz / rlbook-exercises
  ☆100Updated 5 years ago
• xbresson / CS6208_2023
  Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
  ☆324Updated 2 years ago
• kuleshov-group / dgm-resources
  ☆51Updated last year
• french-paragon / BayesianMnist
  A hello world Bayesian Neural Network project on MNIST
  ☆44Updated 3 years ago
• rohinarora / EECE5644-Machine_Learning
  Graduate course on Machine Learning
  ☆125Updated 5 years ago
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆88Updated 6 years ago
• yataobian / awesome-ebm
  Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
  ☆329Updated last month
• AlejandroSantorum / MPhil_MLMI_Cambridge
  MPhil in Machine Learning and Machine Intelligence at University of Cambridge. Notes and material collected by Alejandro Santorum
  ☆19Updated 8 months ago
• DavideScassola / PML2024
  Repository for the Probabilistic Machine Learning labs/practica (@ UniTS, Spring 2024)
  ☆19Updated last year