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
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 3 years ago
• abdulfatir / sampling-methods-numpy
  This repository contains implementations of some basic sampling methods in numpy.
  ☆67Updated 5 years ago
• distillpub / post--bayesian-optimization
  Exploring Bayesian Optimization
  ☆76Updated 4 years ago
• lawrennd / old_talks
  Talks from Neil Lawrence
  ☆54Updated 2 years ago
• aGIToz / Pytorch_pdegraph
  Running PDEs on graph
  ☆29Updated 3 years ago
• zhulingchen / tfp-tutorial
  TensorFlow Probability Tutorial
  ☆38Updated 6 years ago
• 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
• Himscipy / bnn_hvd
  Distributed Training of Bayesian Neural Networks at Scale
  ☆11Updated 5 years ago
• Rose-STL-Lab / Equivariant-Net
  ☆35Updated 2 years ago
• ulissigroup / uncertainty_benchmarking
  Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.
  ☆42Updated 4 years ago
• briandesilva / discovery-of-physics-from-data
  Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"
  ☆28Updated 5 years ago
• paraklas / GPTutorial
  A hands-on tutorial on supervised learning with Gaussian processes
  ☆37Updated 6 years ago
• mfinzi / constrained-hamiltonian-neural-networks
  ☆112Updated 4 years ago
• MilesCranmer / python_citations
  Bibtex for various Python science and machine learning software
  ☆33Updated 3 years ago
• TorchUQ / torchuq
  A library for uncertainty quantification based on PyTorch
  ☆122Updated 3 years ago
• argonne-lcf / AI4ScienceTutorial
  A tutorial for students that surveys basic ML techniques in ipython notebook format.
  ☆29Updated 6 years ago
• deephyper / deephyper
  DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning
  ☆302Updated this week
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 4 years ago
• DLHub-Argonne / dlhub_sdk
  Python Interface to the Data and Learning Hub for Science
  ☆28Updated 2 years ago
• willieneis / bayesian-algorithm-execution
  Bayesian algorithm execution (BAX)
  ☆53Updated 4 years ago
• luckystarufo / multiscale_HiTS
  ☆73Updated 5 years ago
• vdeborto / lab-session-generative-modeling
  Lab session of the course generative modeling
  ☆14Updated 2 years ago
• Romit-Maulik / PyParSVD
  An implementation of the 1. Parallel, 2. Streaming, 3. Randomized SVD using MPI4Py
  ☆64Updated 4 years ago
• CampusAI / Hamiltonian-Generative-Networks
  Re-implementation of Hamiltonian Generative Networks paper
  ☆33Updated 3 years ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆121Updated 2 years ago
• mazy1998 / Solving-Optimization-Problems-with-JAX
  Solving Optimization Problems with JAX, code and PDF
  ☆16Updated 5 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
• adamian / adamian.github.io
  ☆10Updated 2 weeks ago