Alternatives and similar repositories for PracticalSessions2024

Users that are interested in PracticalSessions2024 are comparing it to the libraries listed below

• eemlcommunity / PracticalSessions2023
  ☆69Updated 2 years ago
• eemlcommunity / PracticalSessions2022
  Hands-on tutorials at EEML2022 summer school
  ☆63Updated 3 years ago
• Atcold / Energy-Book
  Deep Learning, an Energy Approach
  ☆229Updated 6 months ago
• clement-bonnet / lpn
  Latent Program Network (from the "Searching Latent Program Spaces" paper)
  ☆107Updated last month
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆91Updated 2 years ago
• galilai-group / stable-pretraining
  Reliable, minimal and scalable library for pretraining foundation and world models
  ☆114Updated this week
• xbresson / CS6208_2023
  Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
  ☆326Updated 2 years ago
• M2Lschool / tutorials2024
  Mediterranean Machine Learning school 2024 tutorials
  ☆41Updated last year
• BlackHC / neural_net_checklist
  ☆212Updated last year
• itsdaniele / jeometric
  Graph neural networks in JAX.
  ☆68Updated last year
• apartresearch / interpretability-starter
  🧠 Starter templates for doing interpretability research
  ☆76Updated 2 years ago
• AndreasBergmeister / pjax
  A projection-based framework for gradient-free and parallel learning
  ☆109Updated 6 months ago
• jbloomAus / DecisionTransformerInterpretability
  Interpreting how transformers simulate agents performing RL tasks
  ☆90Updated 2 years ago
• twitter-research / hyperbolic-rl
  ☆58Updated 3 years ago
• bamos / presentations
  ☆141Updated 3 weeks ago
• muandet-lab / ipml-course
  A course on imprecise probabilistic machine learning
  ☆112Updated 2 weeks ago
• google-deepmind / clrs
  ☆511Updated last week
• xbresson / GML2023
  Graph Machine Learning course, Xavier Bresson, 2023
  ☆614Updated last year
• AllanYangZhou / universal_neural_functional
  ☆54Updated last year
• google-deepmind / enn
  ☆312Updated 10 months ago
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆181Updated 3 years ago
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆82Updated 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 3 years ago
• requeima / llm_processes
  ☆69Updated 9 months ago
• KindXiaoming / BIMT
  Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.
  ☆174Updated 2 years ago
• awesome-tnns / awesome-tnns
  ☆178Updated 2 years ago
• CLAIRE-Labo / python-ml-research-template
  A template for starting reproducible Python machine-learning projects with hardware acceleration. Find an example at https://github.com/C…
  ☆113Updated 7 months ago
• kvfrans / jax-diffusion-transformer
  Implementation of Diffusion Transformer (DiT) in JAX
  ☆300Updated last year
• huggingface / trl-tuto
  ☆51Updated 7 months ago
• Sohl-Dickstein / fractal
  The boundary of neural network trainability is fractal
  ☆221Updated last year