Alternatives and similar repositories for notes

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

• rll / deepul
  ☆828Updated 9 months ago
• jmtomczak / intro_dgm
  "Deep Generative Modeling": Introductory Examples
  ☆1,287Updated 5 months ago
• karpathy / pytorch-normalizing-flows
  Normalizing flows in PyTorch. Current intended use is education not production.
  ☆909Updated 6 years ago
• Subhajit135 / CS236_DGM
  🦍 Stanford CS236 : Deep Generative Models
  ☆158Updated 7 years ago
• matthewvowels1 / Awesome-VAEs
  A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
  ☆838Updated 4 years ago
• yataobian / awesome-ebm
  Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
  ☆362Updated 6 months ago
• tengyuma / cs229m_notes
  ☆241Updated 3 years ago
• janosh / awesome-normalizing-flows
  Awesome resources on normalizing flows.
  ☆1,606Updated 6 months ago
• karpathy / deep-vector-quantization
  VQVAEs, GumbelSoftmaxes and friends
  ☆630Updated 4 years ago
• kushagra06 / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆123Updated 7 years ago
• bayesgroup / deepbayes-2019
  Practical assignments of the Deep|Bayes summer school 2019
  ☆834Updated 5 years ago
• acids-ircam / diffusion_models
  A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch
  ☆718Updated 3 years ago
• lilianweng / lil-log
  Lilian's Blog
  ☆582Updated 2 years ago
• davidbau / how-to-read-pytorch
  Quick, visual, principled introduction to pytorch code through five colab notebooks.
  ☆459Updated last year
• 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…
  ☆776Updated 2 years ago
• zhengqigao / PRML-Solution-Manual
  My Own Solution Manual of PRML
  ☆1,002Updated 4 years ago
• florist-notes / CS228_PGM
  🌲 Stanford CS 228 - Probabilistic Graphical Models
  ☆158Updated last year
• EugenHotaj / pytorch-generative
  Easy generative modeling in PyTorch
  ☆438Updated 2 years ago
• VincentStimper / normalizing-flows
  PyTorch implementation of normalizing flow models
  ☆929Updated last year
• ermongroup / cs228-notes
  Course notes for CS228: Probabilistic Graphical Models.
  ☆1,990Updated 7 months ago
• philipphennig / Probabilistic_ML
  Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
  ☆200Updated 2 years ago
• probml / pml2-book
  Probabilistic Machine Learning: Advanced Topics
  ☆1,516Updated last month
• rtqichen / ffjord
  code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
  ☆664Updated 5 years ago
• GFNOrg / gflownet
  Generative Flow Networks
  ☆665Updated 2 years ago
• Jackson-Kang / Pytorch-VAE-tutorial
  A simple tutorial of Variational AutoEncoders with Pytorch
  ☆429Updated last year
• kamenbliznashki / normalizing_flows
  Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
  ☆637Updated 4 years ago
• locuslab / deq
  [NeurIPS'19] Deep Equilibrium Models
  ☆789Updated 3 years ago
• markriedl / transformer-walkthrough
  A walkthrough of transformer architecture code
  ☆370Updated last year
• bayesiains / nflows
  Normalizing flows in PyTorch
  ☆991Updated last year
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆277Updated 6 years ago