Alternatives and similar repositories for torchswarm

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

• theevann / dl4sci-pytorch-webinar
  ☆56Updated 4 years ago
• ahmedfgad / TorchGA
  Train PyTorch Models using the Genetic Algorithm with PyGAD
  ☆98Updated 9 months ago
• mauriceweiler / MobiusCNNs
  This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…
  ☆72Updated last year
• neel-dey / robustNTF
  PyTorch implementation of Robust Non-negative Tensor Factorization appearing in N. Dey, et al., "Robust Non-negative Tensor Factorization…
  ☆20Updated last year
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆119Updated 2 years ago
• tuantle / regression-losses-pytorch
  Experimenting with different regression losses. Implemented in Pytorch.
  ☆147Updated 6 years ago
• ShuaiGuo16 / Gaussian-Process
  Implementing a Gaussian Process regression model from scratch
  ☆23Updated 4 years ago
• xuwd11 / Dropout_Tutorial_in_PyTorch
  Dropout as Regularization and Bayesian Approximation
  ☆59Updated 6 years ago
• deephyper / deephyper
  DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning
  ☆294Updated last week
• deepsphere / deepsphere-pytorch
  DeepSphere: a graph-based spherical CNN (PyTorch)
  ☆161Updated 3 years ago
• tchaton / lightning-geometric
  Integrate pytorch
  ☆46Updated 4 years ago
• distillpub / post--bayesian-optimization
  Exploring Bayesian Optimization
  ☆76Updated 3 years ago
• twhughes / Symbolic-Regression
  predicting equations from raw data with deep learning
  ☆56Updated 6 years ago
• revidee / pytorch-pyramid-pooling
  This Module implements Spatial Pyramid Pooling (SPP) and Temporal Pyramid Pooling (TPP) as described in different papers.
  ☆56Updated 6 years ago
• paraklas / GPTutorial
  A hands-on tutorial on supervised learning with Gaussian processes
  ☆37Updated 5 years ago
• zlin7 / CGNet
  ☆70Updated 2 years ago
• tensorly / torch
  TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
  ☆80Updated last year
• praxidike97 / GraphNeuralNet
  A simple Graph Net in PyTorch
  ☆24Updated 5 years ago
• Himscipy / bnn_hvd
  Distributed Training of Bayesian Neural Networks at Scale
  ☆11Updated 5 years ago
• Rachnog / Neural-ODE-Experiments
  This repository contains experiments with Neural Ordinary Differential Equations with simulated and real empirical data
  ☆200Updated 6 years ago
• Qualcomm-AI-research / gauge-equivariant-mesh-cnn
  ☆62Updated 2 years ago
• nikita-0209 / mf-al-gfn
  Multi-Fidelity Active Learning with GFlowNets
  ☆7Updated last year
• gallego-posada / eman
  Equivariant Mesh Attention Networks
  ☆21Updated 2 years ago
• paulmorio / geo2dr
  Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.
  ☆46Updated 2 years ago
• nimadehmamy / L-conv-code
  Lie Algebra Convolutional Network implementation
  ☆43Updated 3 years ago
• CampusAI / Hamiltonian-Generative-Networks
  Re-implementation of Hamiltonian Generative Networks paper
  ☆33Updated 2 years ago
• marcovirgolin / SimpleGP
  Simple Genetic Programming for Symbolic Regression in Python3
  ☆25Updated 3 years ago
• facebookresearch / robust_mobo
  Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"
  ☆54Updated 3 years ago
• abdulfatir / sampling-methods-numpy
  This repository contains implementations of some basic sampling methods in numpy.
  ☆67Updated 5 years ago
• tum-pbs / LSIM
  LSiM is a learned metric to compute distance values for 2D data from numerical simulations
  ☆27Updated last year