Alternatives and similar repositories for uvadlc_notebooks

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

• 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…
  ☆736Updated last year
• jmtomczak / intro_dgm
  "Deep Generative Modeling": Introductory Examples
  ☆1,191Updated 8 months ago
• n2cholas / awesome-jax
  JAX - A curated list of resources https://github.com/google/jax
  ☆1,838Updated 3 months ago
• janosh / awesome-normalizing-flows
  Awesome resources on normalizing flows.
  ☆1,533Updated last month
• xl0 / lovely-tensors
  Tensors, for human consumption
  ☆1,256Updated this week
• libffcv / ffcv
  FFCV: Fast Forward Computer Vision (and other ML workloads!)
  ☆2,937Updated last year
• ashleve / lightning-hydra-template
  PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
  ☆4,714Updated 10 months ago
• paperswithcode / releasing-research-code
  Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
  ☆2,799Updated 2 years ago
• phlippe / UvA_Summaries
  Summaries of courses in the AI Master programme at UvA
  ☆175Updated 2 years ago
• google / learned_optimization
  ☆778Updated 2 weeks ago
• Lightning-AI / deep-learning-project-template
  Pytorch Lightning code guideline for conferences
  ☆1,269Updated last year
• IgorSusmelj / pytorch-styleguide
  An unofficial styleguide and best practices summary for PyTorch
  ☆1,984Updated 3 years ago
• rasbt / stat453-deep-learning-ss21
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
  ☆503Updated 3 years ago
• clementchadebec / benchmark_VAE
  Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
  ☆1,918Updated 10 months ago
• dair-ai / GNNs-Recipe
  🟠 A study guide to learn about Graph Neural Networks (GNNs)
  ☆1,212Updated 2 years ago
• rll / deepul
  ☆806Updated 2 months ago
• TylerYep / torchinfo
  View model summaries in PyTorch!
  ☆2,804Updated last week
• deepgenerativemodels / notes
  Course notes
  ☆693Updated last year
• vahidk / EffectivePyTorch
  PyTorch tutorials and best practices.
  ☆1,688Updated 2 months ago
• google-deepmind / jraph
  A Graph Neural Network Library in Jax
  ☆1,433Updated last year
• vopani / jaxton
  100 exercises to learn JAX
  ☆582Updated 3 years ago
• google / uncertainty-baselines
  High-quality implementations of standard and SOTA methods on a variety of tasks.
  ☆1,512Updated last week
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,345Updated last year
• ENSTA-U2IS-AI / awesome-uncertainty-deeplearning
  This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…
  ☆691Updated last week
• google-deepmind / optax
  Optax is a gradient processing and optimization library for JAX.
  ☆1,916Updated this week
• Lightning-AI / torchmetrics
  Machine learning metrics for distributed, scalable PyTorch applications.
  ☆2,291Updated this week
• aangelopoulos / conformal-prediction
  Lightweight, useful implementation of conformal prediction on real data.
  ☆901Updated this week
• mpezeshki / pytorch_forward_forward
  Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation
  ☆1,480Updated last year
• probml / pml2-book
  Probabilistic Machine Learning: Advanced Topics
  ☆1,469Updated 2 months ago
• Atcold / NYU-DLSP21
  NYU Deep Learning Spring 2021
  ☆1,623Updated 9 months ago