Alternatives and similar repositories for dl4sci-pytorch-webinar

Users that are interested in dl4sci-pytorch-webinar are comparing it to the libraries listed below

• NERSC / dl4sci-tf-tutorials
  Official TensorFlow 2.0 tutorial notebooks for the Deep Learning for Science School at LBNL
  ☆43Updated 5 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• cranmer / stats-ds-book
  http://cranmer.github.io/stats-ds-book
  ☆70Updated 4 years ago
• ShuaiGuo16 / Gaussian-Process
  Implementing a Gaussian Process regression model from scratch
  ☆23Updated 4 years ago
• MilesCranmer / python_citations
  Bibtex for various Python science and machine learning software
  ☆33Updated 2 years ago
• random-matrix-learning / random-matrix-learning.github.io
  Website for the ICML 2021 tutorial on Random Matrix Theory and Machine Learning
  ☆15Updated 3 years ago
• deepskies / DeeplyUncertain-Public
  ☆28Updated 2 years ago
• hqucms / ParticleNet
  Implementation of the jet classification network in ParticleNet: Jet Tagging via Particle Clouds
  ☆48Updated 5 years ago
• alexOarga / haiku-geometric
  A collection of graph neural networks implementations in JAX
  ☆32Updated last year
• johannbrehmer / pointers
  Things that make me feel productive
  ☆15Updated 2 years ago
• dfm / cv
  My CV
  ☆37Updated this week
• gcucurull / jax-gcn
  Graph Convolutional Networks in JAX
  ☆32Updated 4 years ago
• NERSC / sc19-dl-tutorial
  Hands-on material for the SC19 tutorial, Deep Learning at Scale
  ☆17Updated 5 years ago
• NERSC / sc23-dl-tutorial
  SC23 Deep Learning at Scale Tutorial Material
  ☆45Updated 8 months ago
• lawrennd / old_talks
  Talks from Neil Lawrence
  ☆54Updated last year
• aGIToz / Pytorch_pdegraph
  Running PDEs on graph
  ☆29Updated 2 years ago
• deepchem / jaxchem
  JAXChem is a JAX-based deep learning library for complex and versatile chemical modeling
  ☆79Updated 4 years ago
• florpi / summer_school_generative
  ☆13Updated last year
• lukasheinrich / pyhep2020-autodiff-tutorial
  ☆31Updated 4 years ago
• yhtang / FunFact
  Tensor decomposition with arbitrary expressions: inner, outer, elementwise operators; nonlinear transformations; and more.
  ☆58Updated 2 years ago
• HEPTrkX / heptrkx-gnn-tracking
  ☆30Updated 6 years ago
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 3 years ago
• bgroenks96 / normalizing-flows
  Implementations of normalizing flows using python and tensorflow
  ☆24Updated 6 months ago
• GilesStrong / lumin
  LUMIN - a deep learning and data science ecosystem for high-energy physics.
  ☆46Updated 7 months ago
• smsharma / sbi-lecture-mit
  Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.
  ☆55Updated last year
• glouppe / recnn
  Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"
  ☆46Updated 5 years ago
• glouppe / paper-learning-to-pivot
  Repository for the paper "Learning to Pivot with Adversarial Networks"
  ☆35Updated 5 years ago
• argonne-lcf / AI4ScienceTutorial
  A tutorial for students that surveys basic ML techniques in ipython notebook format.
  ☆25Updated 5 years ago
• montefiore-institute / balanced-nre
  Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".
  ☆14Updated 2 years ago
• larsbratholm / champs_kaggle
  Collection of code and data related to the CHAMPS kaggle competition
  ☆11Updated 3 years ago