rohanmohapatra / torchswarmLinks
A fast implementation of Particle Swarm Optimization using PyTorch in GPU
☆28Updated 4 years ago
Alternatives and similar repositories for torchswarm
Users that are interested in torchswarm are comparing it to the libraries listed below
Sorting:
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆73Updated last year
- Train PyTorch Models using the Genetic Algorithm with PyGAD☆99Updated last year
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆121Updated 2 years ago
- Bayesian algorithm execution (BAX)☆50Updated 4 years ago
- ☆56Updated 5 years ago
- 💡 Learnergy is a Python library for energy-based machine learning models.☆68Updated 7 months ago
- Python code to directly compute persistence images (PIs) from data (time-series or images) using deep learning.☆25Updated last year
- predicting equations from raw data with deep learning☆57Updated 6 years ago
- Turning SymPy expressions into PyTorch modules.☆151Updated 2 years ago
- Simple Genetic Programming for Symbolic Regression in Python3☆27Updated 3 years ago
- Lie Algebra Convolutional Network implementation☆43Updated 3 years ago
- Exploring Bayesian Optimization☆76Updated 4 years ago
- Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP☆57Updated 2 weeks ago
- Minimal PyTorch Library for Natural Evolution Strategies☆17Updated 4 years ago
- Contains legacy code and model examples for the paper "BayesFlow: Learning complex stochastic models with invertible neural networks"☆24Updated 4 years ago
- Integrate pytorch☆46Updated 4 years ago
- Embedder with binary sparse distributed representation.☆17Updated 4 months ago
- ☆70Updated 2 years ago
- Equivariant Mesh Attention Networks☆20Updated 3 years ago
- Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.☆42Updated 4 years ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆81Updated last year
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 5 years ago
- Experimenting with different regression losses. Implemented in Pytorch.☆148Updated 6 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 2 years ago
- Fork of the E2CNN library that adds support for equivariant partial differential operators☆17Updated 3 years ago
- Signal processing on graphs using torch_geometric.☆14Updated 3 years ago
- Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.☆128Updated last week
- Keras-like APIs for JAX framework☆50Updated 2 years ago
- PyHopper is a hyperparameter optimizer, made specifically for high-dimensional problems arising in machine learning research.☆86Updated last year
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago