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
• abdulfatir / sampling-methods-numpy
  This repository contains implementations of some basic sampling methods in numpy.
  ☆67Updated 5 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 3 years ago
• lawrennd / old_talks
  Talks from Neil Lawrence
  ☆54Updated last year
• gcucurull / jax-gcn
  Graph Convolutional Networks in JAX
  ☆33Updated 4 years ago
• cranmer / stats-ds-book
  http://cranmer.github.io/stats-ds-book
  ☆73Updated 4 years ago
• MilesCranmer / python_citations
  Bibtex for various Python science and machine learning software
  ☆33Updated 2 years ago
• alexOarga / haiku-geometric
  A collection of graph neural networks implementations in JAX
  ☆33Updated last year
• zhulingchen / tfp-tutorial
  TensorFlow Probability Tutorial
  ☆37Updated 5 years ago
• ritchieng / eigenvectors-from-eigenvalues
  PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.
  ☆98Updated 3 years ago
• deephyper / deephyper
  DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning
  ☆297Updated last week
• willieneis / bayesian-algorithm-execution
  Bayesian algorithm execution (BAX)
  ☆50Updated 4 years ago
• ireis / PRF
  Probabilistic Random Forest: A machine learning algorithm for noisy datasets
  ☆130Updated last year
• ShuaiGuo16 / Gaussian-Process
  Implementing a Gaussian Process regression model from scratch
  ☆23Updated 4 years ago
• distillpub / post--bayesian-optimization
  Exploring Bayesian Optimization
  ☆76Updated 3 years ago
• deepchem / jaxchem
  JAXChem is a JAX-based deep learning library for complex and versatile chemical modeling
  ☆80Updated 5 years ago
• wjmaddox / spectralgp
  Code repo for "Function-Space Distributions over Kernels"
  ☆32Updated 4 years ago
• Himscipy / bnn_hvd
  Distributed Training of Bayesian Neural Networks at Scale
  ☆11Updated 5 years ago
• aGIToz / Pytorch_pdegraph
  Running PDEs on graph
  ☆29Updated 2 years ago
• mazy1998 / Solving-Optimization-Problems-with-JAX
  Solving Optimization Problems with JAX, code and PDF
  ☆16Updated 5 years ago
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 3 years ago
• ulissigroup / uncertainty_benchmarking
  Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.
  ☆42Updated 4 years ago
• luckystarufo / multiscale_HiTS
  ☆73Updated 5 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆84Updated last year
• argonne-lcf / AI4ScienceTutorial
  A tutorial for students that surveys basic ML techniques in ipython notebook format.
  ☆27Updated 6 years ago
• WayneDW / Contour-Stochastic-Gradient-Langevin-Dynamics
  An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)
  ☆42Updated 3 years ago
• facebookresearch / robust_mobo
  Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"
  ☆55Updated 3 years ago
• NERSC / sc19-dl-tutorial
  Hands-on material for the SC19 tutorial, Deep Learning at Scale
  ☆17Updated 5 years ago
• vdeborto / lab-session-generative-modeling
  Lab session of the course generative modeling
  ☆14Updated 2 years ago
• gpapamak / snl
  Sequential Neural Likelihood
  ☆42Updated 6 years ago