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 6 years ago
• MilesCranmer / python_citations
  Bibtex for various Python science and machine learning software
  ☆33Updated 2 years ago
• Emergent-Behaviors-in-Biology / mlreview_notebooks
  Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."
  ☆69Updated 5 years ago
• abdulfatir / sampling-methods-numpy
  This repository contains implementations of some basic sampling methods in numpy.
  ☆67Updated 5 years ago
• ulissigroup / uncertainty_benchmarking
  Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.
  ☆42Updated 4 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• paraklas / GPTutorial
  A hands-on tutorial on supervised learning with Gaussian processes
  ☆37Updated 5 years 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.
  ☆56Updated last year
• argonne-lcf / AI4ScienceTutorial
  A tutorial for students that surveys basic ML techniques in ipython notebook format.
  ☆26Updated 5 years ago
• DLHub-Argonne / dlhub_sdk
  Python Interface to the Data and Learning Hub for Science
  ☆28Updated 2 years ago
• aGIToz / Pytorch_pdegraph
  Running PDEs on graph
  ☆29Updated 2 years ago
• facebookresearch / robust_mobo
  Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"
  ☆54Updated 3 years ago
• eth-nn-physics / nn_physical_concepts
  ☆177Updated 2 years ago
• gcucurull / jax-gcn
  Graph Convolutional Networks in JAX
  ☆32Updated 4 years ago
• PV-Lab / BayesProcess
  Physics informed Bayesian network + autoencoder for matching process / variable / performance in solar cells.
  ☆32Updated 3 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
• ireis / PRF
  Probabilistic Random Forest: A machine learning algorithm for noisy datasets
  ☆130Updated last year
• Romit-Maulik / PyParSVD
  An implementation of the 1. Parallel, 2. Streaming, 3. Randomized SVD using MPI4Py
  ☆63Updated 4 years ago
• cranmer / stats-ds-book
  http://cranmer.github.io/stats-ds-book
  ☆73Updated 4 years ago
• distillpub / post--bayesian-optimization
  Exploring Bayesian Optimization
  ☆76Updated 3 years ago
• ShuaiGuo16 / Gaussian-Process
  Implementing a Gaussian Process regression model from scratch
  ☆23Updated 4 years ago
• alexOarga / haiku-geometric
  A collection of graph neural networks implementations in JAX
  ☆33Updated last year
• lawrennd / old_talks
  Talks from Neil Lawrence
  ☆54Updated last year
• NERSC / sc19-dl-tutorial
  Hands-on material for the SC19 tutorial, Deep Learning at Scale
  ☆17Updated 5 years ago
• willieneis / bayesian-algorithm-execution
  Bayesian algorithm execution (BAX)
  ☆49Updated 3 years ago
• zhulingchen / tfp-tutorial
  TensorFlow Probability Tutorial
  ☆37Updated 5 years ago
• nikita-0209 / mf-al-gfn
  Multi-Fidelity Active Learning with GFlowNets
  ☆7Updated last year
• yhtang / FunFact
  Tensor decomposition with arbitrary expressions: inner, outer, elementwise operators; nonlinear transformations; and more.
  ☆58Updated 2 years ago
• Himscipy / bnn_hvd
  Distributed Training of Bayesian Neural Networks at Scale
  ☆11Updated 5 years ago
• johannbrehmer / pointers
  Things that make me feel productive
  ☆15Updated 2 years ago