Alternatives and similar repositories for tutorials2024

Users that are interested in tutorials2024 are comparing it to the libraries listed below

• M2Lschool / tutorials2022
  The M2L school 2022 tutorials
  ☆36Updated 2 years ago
• clementchadebec / pyraug
  Data Augmentation with Variational Autoencoders (TPAMI)
  ☆140Updated 2 years ago
• hazratali / awesome-ai-summerschool
  A list of summer schools on Artificial Intelligence, Machine Learning, and Healthcare
  ☆248Updated this week
• philipphennig / Probabilistic_ML
  Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
  ☆155Updated last year
• vdeborto / lab-session-generative-modeling
  Lab session of the course generative modeling
  ☆14Updated 2 years ago
• clane9 / columnformers
  A Transformer-inspired model of the brain
  ☆21Updated 5 months ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆91Updated last year
• deep-learning-indaba / indaba-pracs-2024
  Notebooks for the Practicals at the Deep Learning Indaba 2024.
  ☆67Updated 8 months ago
• eemlcommunity / PracticalSessions2024
  ☆78Updated 9 months ago
• zecevic-matej / ESSAI-2023-Causality
  European Summer School on AI Course "Machines Climbing Pearl's Ladder of Causation"
  ☆14Updated last year
• r-isachenko / 2022-2023-DGM-AIMasters-course
  Deep Generative Models course, AIMasters, 2022
  ☆46Updated 2 years ago
• NevVerVer / DBS-Gym
  Code accompanying paper ""
  ☆14Updated 2 weeks ago
• zecevic-matej / SMLW-Causality-Tutorial
  Eastern European Machine Learning Summer School (EEML) Workshop Series 2022. Tutorial on Causality for the Serbian Machine Learning Works…
  ☆22Updated 3 years ago
• gmberton / awesome-machine-learning-startups
  List of startups doing AI & ML
  ☆270Updated 5 months ago
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆89Updated last year
• eemlcommunity / PracticalSessions2022
  Hands-on tutorials at EEML2022 summer school
  ☆63Updated 2 years ago
• rbardenet / bml-course
  Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille
  ☆86Updated 2 months ago
• mayabechlerspeicher / Graph-Neural-Additive-Networks---GNAN
  ☆37Updated 2 months ago
• helblazer811 / diffusion-visualizations
  Visualizations of the theory behind diffusion models.
  ☆275Updated last week
• AndrewSpano / Disentangled-Variational-Autoencoder
  PyTorch Implementations of a VAE and a beta-VAE.
  ☆60Updated 4 years ago
• sushant097 / Deep-Learning-Papers-Reading
  30 Days GANs Paper Reading
  ☆44Updated 2 years ago
• AlexPasqua / Autoencoders
  Pytorch implementation of various autoencoders (contractive, denoising, convolutional, randomized)
  ☆57Updated 2 years ago
• HHU-MMBS / RepresentationLearning_SS2023
  Representation Learning MSc course Summer Semester 2023
  ☆79Updated last year
• BARL-SSL / reptrix
  Library that provides metrics to assess representation quality
  ☆10Updated 3 months ago
• balthazarneveu / mva_pepites
  Access to free kaggle compute power from your command line
  ☆29Updated last year
• konstantinos-p / Bayesian-Neural-Networks-Reading-List
  A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…
  ☆52Updated last year
• p-giakoumoglou / pyssl
  Self-Supervised Learning in PyTorch
  ☆137Updated last year
• KempnerInstitute / overcomplete
  👋 Overcomplete is a Vision-based SAE Toolbox
  ☆53Updated last month
• scikit-adaptation / skada-bench
  Domain Adaptation benchmark
  ☆24Updated 4 months ago
• EduardoGarrido90 / UPM_summer_school_GP_BO_course
  Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.
  ☆27Updated 10 months ago