Alternatives and similar repositories for dlip-pytorch-DL-good-practises

Users that are interested in dlip-pytorch-DL-good-practises are comparing it to the libraries listed below

• rbawden / MVA_2024_SL
  MVA Course "Algorithms for speech and language processing", 2024, Clavel, Wisniewski, Sagot, Bawden & Seddah
  ☆15Updated 8 months ago
• erachelson / RLclass_MVA
  ☆61Updated 8 months ago
• balthazarneveu / mva_pepites
  Access to free kaggle compute power from your command line
  ☆31Updated last year
• muandet-lab / ipml-course
  A course on imprecise probabilistic machine learning
  ☆28Updated last week
• Atcold / Energy-Book
  Deep Learning, an Energy Approach
  ☆215Updated 4 months ago
• probml / dynamax
  A Python package for probabilistic state space modeling with JAX
  ☆871Updated 3 months ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆90Updated 2 years ago
• rbardenet / bml-course
  Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille
  ☆90Updated 7 months ago
• AndreasBergmeister / pjax
  A projection-based framework for gradient-free and parallel learning
  ☆106Updated 3 months ago
• ml-stat-Sustech / TorchCP
  A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
  ☆426Updated this week
• slinderman / stats305c
  STATS305C: Applied Statistics III (Spring, 2023)
  ☆28Updated 2 years ago
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆179Updated 3 years ago
• 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…
  ☆759Updated last year
• diffprog / code
  Code for the book "The Elements of Differentiable Programming".
  ☆269Updated 3 months ago
• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆218Updated last year
• philipphennig / Probabilistic_ML
  Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
  ☆184Updated 2 years ago
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆373Updated this week
• wilson-labs / cola
  Compositional Linear Algebra
  ☆491Updated 2 months ago
• GilpinLab / dysts
  Hundreds of strange attractors
  ☆495Updated 2 weeks ago
• johnmarktaylor91 / torchlens
  Package for extracting and mapping the results of every single tensor operation in a PyTorch model in one line of code.
  ☆616Updated 2 weeks ago
• sdevries0 / Kozax
  A JAX-based framework for genetic programming
  ☆24Updated last month
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆653Updated this week
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆69Updated 5 months ago
• jaxleyverse / jaxley
  Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.
  ☆118Updated this week
• pg2455 / KAN-Tutorial
  Understanding Kolmogorov-Arnold Networks: A Tutorial Series on KAN using Toy Examples
  ☆196Updated 4 months ago
• google-deepmind / uncertain_ground_truth
  Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggrega…
  ☆650Updated last year
• gerdm / reinforcement-learning
  Repository of notes, code and notebooks in Python for the book "Reinforcement Learning: An Introduction" by Richard S. Sutton and Andrew …
  ☆35Updated last month
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆143Updated 4 months ago
• benchopt / benchopt
  Making your benchmark of optimization algorithms simple and open
  ☆273Updated this week