Alternatives and similar repositories for uvadlc_notebooks

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

• jmtomczak / intro_dgm
  "Deep Generative Modeling": Introductory Examples
  ☆1,272Updated 4 months ago
• gordicaleksa / get-started-with-JAX
  The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series o…
  ☆775Updated 2 years ago
• clementchadebec / benchmark_VAE
  Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
  ☆1,977Updated last year
• rll / deepul
  ☆827Updated 8 months ago
• probml / pml2-book
  Probabilistic Machine Learning: Advanced Topics
  ☆1,509Updated 2 weeks ago
• n2cholas / awesome-jax
  JAX - A curated list of resources https://github.com/google/jax
  ☆1,998Updated 3 months ago
• IgorSusmelj / pytorch-styleguide
  An unofficial styleguide and best practices summary for PyTorch
  ☆2,003Updated 4 years ago
• phlippe / UvA_Summaries
  Summaries of courses in the AI Master programme at UvA
  ☆188Updated 3 years ago
• deepgenerativemodels / notes
  Course notes
  ☆737Updated last year
• Atcold / NYU-DLSP21
  NYU Deep Learning Spring 2021
  ☆1,647Updated last month
• mert-kurttutan / torchview
  torchview: visualize pytorch models
  ☆1,012Updated 7 months ago
• gordicaleksa / pytorch-original-transformer
  My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing o…
  ☆1,078Updated 5 years ago
• janosh / awesome-normalizing-flows
  Awesome resources on normalizing flows.
  ☆1,598Updated 5 months ago
• Lightning-AI / deep-learning-project-template
  Pytorch Lightning code guideline for conferences
  ☆1,284Updated 2 years ago
• dair-ai / Transformers-Recipe
  🧠 A study guide to learn about Transformers
  ☆1,623Updated 2 years ago
• dair-ai / GNNs-Recipe
  🟠 A study guide to learn about Graph Neural Networks (GNNs)
  ☆1,265Updated 2 years ago
• TylerYep / torchinfo
  View model summaries in PyTorch!
  ☆2,889Updated last week
• google-deepmind / jraph
  A Graph Neural Network Library in Jax
  ☆1,461Updated last year
• google / learned_optimization
  ☆792Updated last month
• ritchieng / deep-learning-wizard
  Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
  ☆863Updated 3 months ago
• lucidrains / x-transformers
  A concise but complete full-attention transformer with a set of promising experimental features from various papers
  ☆5,743Updated this week
• xbresson / GML2023
  Graph Machine Learning course, Xavier Bresson, 2023
  ☆614Updated last year
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,364Updated last year
• rasbt / stat453-deep-learning-ss21
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
  ☆532Updated 3 years ago
• google-deepmind / educational
  ☆1,471Updated 3 years ago
• Lightning-Universe / lightning-bolts
  Toolbox of models, callbacks, and datasets for AI/ML researchers.
  ☆1,756Updated 3 weeks ago
• maziarraissi / Applied-Deep-Learning
  Applied Deep Learning Course
  ☆3,480Updated 2 years ago
• vahidk / EffectivePyTorch
  PyTorch tutorials and best practices.
  ☆1,703Updated 9 months ago
• wandb / examples
  Example deep learning projects that use wandb's features.
  ☆1,198Updated 3 weeks ago
• google / ml_collections
  ML Collections is a library of Python Collections designed for ML use cases.
  ☆1,004Updated last month