Alternatives and similar repositories for Energy-Book

Users that are interested in Energy-Book are comparing it to the libraries listed below

• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆366Updated 3 months ago
• AndreasBergmeister / pjax
  A projection-based framework for gradient-free and parallel learning
  ☆104Updated last month
• diffprog / code
  Code for the book "The Elements of Differentiable Programming".
  ☆253Updated last month
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆181Updated 2 years ago
• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆210Updated last year
• BlackHC / neural_net_checklist
  ☆150Updated 11 months ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆90Updated last year
• wilson-labs / cola
  Compositional Linear Algebra
  ☆483Updated 2 months ago
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆67Updated 2 months ago
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• Sohl-Dickstein / fractal
  The boundary of neural network trainability is fractal
  ☆213Updated last year
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆130Updated 2 years ago
• aangelopoulos / ppi_py
  A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
  ☆251Updated 2 months ago
• abao1999 / panda
  Patched Attention for Nonlinear Dynamics
  ☆155Updated this week
• apple / ml-calibration
  relplot: Utilities for measuring calibration and plotting reliability diagrams
  ☆165Updated last month
• probml / ssm-book
  Interactive textbook on state-space models
  ☆196Updated last year
• fbach2000 / Learning_Theory_from_First_Principles
  Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach
  ☆115Updated last year
• thomasahle / tensorgrad
  Machine Learning with Symbolic Tensors
  ☆324Updated 2 months ago
• alexandersoen / pyBregMan
  ☆30Updated this week
• greydanus / mnist1d
  A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions.
  ☆227Updated 9 months ago
• paganpasta / eqxvision
  A Python package of computer vision models for the Equinox ecosystem.
  ☆107Updated last year
• philipphennig / Probabilistic_ML
  Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
  ☆170Updated last year
• google-deepmind / uncertain_ground_truth
  Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggrega…
  ☆649Updated last year
• itsdaniele / jeometric
  Graph neural networks in JAX.
  ☆67Updated last year
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆75Updated this week
• misko / human_descent
  ☆38Updated 7 months ago
• PGM-Lab / 2022-ProbAI
  ☆21Updated 3 years ago
• probml / sts-jax
  Structural Time Series in JAX
  ☆196Updated last year
• Artur-Galstyan / statedict2pytree
  ☆43Updated 2 months ago
• ml-stat-Sustech / TorchCP
  A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
  ☆415Updated 2 weeks ago