Alternatives and similar repositories for awesome-ml-demos:

Users that are interested in awesome-ml-demos are comparing it to the libraries listed below

• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆193Updated 9 months ago
• google-deepmind / uncertain_ground_truth
  Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggrega…
  ☆642Updated 9 months ago
• johnmarktaylor91 / torchlens
  Package for extracting and mapping the results of every single tensor operation in a PyTorch model in one line of code.
  ☆535Updated this week
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆333Updated 2 months ago
• xbresson / GML2023
  Graph Machine Learning course, Xavier Bresson, 2023
  ☆594Updated 4 months ago
• xbresson / CS6208_2023
  Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
  ☆317Updated last year
• wilson-labs / cola
  Compositional Linear Algebra
  ☆456Updated this week
• srush / Autodiff-Puzzles
  ☆413Updated 2 months ago
• probml / ssm-book
  Interactive textbook on state-space models
  ☆181Updated 11 months ago
• BlackHC / neural_net_checklist
  ☆149Updated 5 months ago
• dobriban / stat-ml-edu
  Resources for education in statistics and machine learning: from advanced undergraduate to research level
  ☆84Updated 7 months ago
• HHU-MMBS / RepresentationLearning_SS2023
  Representation Learning MSc course Summer Semester 2023
  ☆73Updated last year
• thomasahle / tensorgrad
  Tensor Network Library with Autograd
  ☆157Updated this week
• smsharma / minified-generative-models
  Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…
  ☆126Updated last year
• philipphennig / Probabilistic_ML
  Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
  ☆140Updated last year
• srush / Transformer-Puzzles
  Puzzles for exploring transformers
  ☆331Updated last year
• HMUNACHI / nanodl
  A Jax-based library for designing and training transformer models from scratch.
  ☆280Updated 4 months ago
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆172Updated 2 years ago
• bayesflow-org / bayesflow
  A Python library for amortized Bayesian workflows using generative neural networks.
  ☆409Updated this week
• probml / dynamax
  State Space Models library in JAX
  ☆726Updated last month
• facebookresearch / optimizers
  For optimization algorithm research and development.
  ☆484Updated this week
• aangelopoulos / ppi_py
  A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
  ☆215Updated 3 weeks ago
• annalena-k / tutorial-dingo-introduction
  Tutorial for the DINGO package to analyze gravitational wave data using NPE
  ☆38Updated 6 months ago
• rasbt / scipy2023-deeplearning
  ☆598Updated last year
• kvfrans / jax-diffusion-transformer
  Implementation of Diffusion Transformer (DiT) in JAX
  ☆261Updated 7 months ago
• smsharma / awesome-neural-sbi
  Community-sourced list of papers and resources on neural simulation-based inference.
  ☆105Updated last month
• n2cholas / awesome-jax
  JAX - A curated list of resources https://github.com/google/jax
  ☆1,660Updated 6 months ago
• Sohl-Dickstein / fractal
  The boundary of neural network trainability is fractal
  ☆190Updated 11 months ago
• clu0 / unet.cu
  UNet diffusion model in pure CUDA
  ☆596Updated 6 months ago
• che-shr-cat / JAX-in-Action
  Notebooks for the "JAX in Action" book
  ☆125Updated 6 months ago