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
  ☆1,270Updated 3 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…
  ☆774Updated 2 years ago
• n2cholas / awesome-jax
  JAX - A curated list of resources https://github.com/google/jax
  ☆1,993Updated 3 months ago
• ashleve / lightning-hydra-template
  PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
  ☆5,069Updated last year
• rll / deepul
  ☆826Updated 8 months ago
• deepgenerativemodels / notes
  Course notes
  ☆736Updated last year
• Lightning-AI / deep-learning-project-template
  Pytorch Lightning code guideline for conferences
  ☆1,280Updated 2 years ago
• janosh / awesome-normalizing-flows
  Awesome resources on normalizing flows.
  ☆1,596Updated 5 months ago
• probml / pml2-book
  Probabilistic Machine Learning: Advanced Topics
  ☆1,507Updated 2 weeks ago
• IgorSusmelj / pytorch-styleguide
  An unofficial styleguide and best practices summary for PyTorch
  ☆2,001Updated 3 years ago
• mert-kurttutan / torchview
  torchview: visualize pytorch models
  ☆1,013Updated 7 months ago
• dair-ai / GNNs-Recipe
  🟠 A study guide to learn about Graph Neural Networks (GNNs)
  ☆1,263Updated 2 years ago
• xbresson / GML2023
  Graph Machine Learning course, Xavier Bresson, 2023
  ☆614Updated last year
• phlippe / UvA_Summaries
  Summaries of courses in the AI Master programme at UvA
  ☆188Updated 3 years ago
• TylerYep / torchinfo
  View model summaries in PyTorch!
  ☆2,885Updated this week
• minitorch / minitorch
  The full minitorch student suite.
  ☆2,260Updated last year
• dair-ai / Transformers-Recipe
  🧠 A study guide to learn about Transformers
  ☆1,623Updated 2 years ago
• clementchadebec / benchmark_VAE
  Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
  ☆1,973Updated last year
• xl0 / lovely-tensors
  Tensors, for human consumption
  ☆1,334Updated last month
• patrick-kidger / torchtyping
  Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
  ☆1,467Updated 7 months ago
• CalculatedContent / WeightWatcher
  The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
  ☆1,699Updated last week
• lucidrains / x-transformers
  A concise but complete full-attention transformer with a set of promising experimental features from various papers
  ☆5,719Updated last week
• pbloem / former
  Simple transformer implementation from scratch in pytorch. (archival, latest version on codeberg)
  ☆1,093Updated 9 months ago
• Lightning-AI / torchmetrics
  Machine learning metrics for distributed, scalable PyTorch applications.
  ☆2,383Updated this week
• 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…
  ☆1,076Updated 4 years ago
• libffcv / ffcv
  FFCV: Fast Forward Computer Vision (and other ML workloads!)
  ☆2,986Updated last year
• meta-pytorch / captum
  Model interpretability and understanding for PyTorch
  ☆5,496Updated this week
• paperswithcode / releasing-research-code
  Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
  ☆2,852Updated 2 years ago
• patrick-kidger / equinox
  Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
  ☆2,722Updated this week
• rasbt / stat453-deep-learning-ss21
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
  ☆528Updated 3 years ago