Alternatives and similar repositories for hydra-tutorial

Users that are interested in hydra-tutorial are comparing it to the libraries listed below

• ganguli-lab / degrees-of-freedom
  ☆37Updated 3 years ago
• ml-jku / quam
  Quantification of Uncertainty with Adversarial Models
  ☆29Updated 2 years ago
• fsschneider / cockpit-experiments
  Experiments for the NeurIPS 2021 paper "Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks"
  ☆13Updated 4 years ago
• yannadani / cbed
  Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.
  ☆20Updated 2 years ago
• ExpectationMax / sklearn-jax-kernels
  Composable kernels for scikit-learn implemented in JAX.
  ☆45Updated 5 years ago
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 4 years ago
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆130Updated 3 years ago
• probml / JSL
  Jax SSM Library
  ☆48Updated 3 years ago
• Lightning-Universe / Research-template
  Quickest way to share everything about your research within a single app
  ☆37Updated last year
• TorchUQ / torchuq
  A library for uncertainty quantification based on PyTorch
  ☆122Updated 3 years ago
• distillpub / post--grand-tour
  ☆31Updated 2 years ago
• glouppe / flowing-with-jax
  ☆15Updated 4 years ago
• craffel / jax-tutorial
  A tutorial on JAX (https://github.com/google/jax/)
  ☆47Updated 6 years ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆23Updated 3 years ago
• hadyelsahar / EBM-visualizations
  notebooks of cool EBM visualizations
  ☆15Updated 4 years ago
• n2cholas / shapecheck
  Framework-agnostic library for checking array/tensor shapes at runtime.
  ☆46Updated 4 years ago
• jmtomczak / git_flow
  General Invertible Transformations for Flow-based Generative Models
  ☆18Updated 5 years ago
• nec-research / tf-imle
  Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation
  ☆67Updated 3 years ago
• widmi / widis-lstm-tools
  Tools for working with Long Short-Term Memory (LSTM) networks and sequences in Pytorch
  ☆36Updated 4 years ago
• mle-infrastructure / mle-logging
  Lightweight ML Experiment Logging 📖
  ☆81Updated last year
• aangelopoulos / rcps
  Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"
  ☆87Updated last year
• toshas / torch-householder
  Efficient Householder Transformation in PyTorch
  ☆67Updated 4 years ago
• probml / bandits
  Bayesian Bandits
  ☆68Updated 2 years ago
• scottire / fastpages
  ☆20Updated 2 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆29Updated 5 years ago
• pengyan510 / torcheck
  ☆36Updated 3 years ago
• sayakpaul / Barlow-Twins-TF
  TensorFlow implementation of Barlow Twins (https://arxiv.org/abs/2103.03230).
  ☆41Updated 4 years ago
• RobertTLange / code-and-blog
  Some small scale experiments for my blog posts 📝
  ☆79Updated 3 years ago
• alexub / jax-meta-learning
  Simple, extensible implementations of some meta-learning algorithms in Jax
  ☆10Updated 5 years ago
• cgarciae / einop
  ☆60Updated 3 years ago