rohanmohapatra / torchswarm
A fast implementation of Particle Swarm Optimization using PyTorch in GPU
☆29Updated 3 years ago
Alternatives and similar repositories for torchswarm:
Users that are interested in torchswarm are comparing it to the libraries listed below
- Dropout as Regularization and Bayesian Approximation☆57Updated 6 years ago
- Particle Swarm Optimization implemented using PyTorch Optimizer API☆16Updated 2 years ago
- Pytorch RBF Layer implements a radial basis function layer in Pytorch. Radial Basis networks can be used to approximate functions.☆46Updated 3 years ago
- ☆28Updated 7 months ago
- ☆83Updated 2 years ago
- Code for experiments to learn uncertainty☆30Updated 2 years ago
- Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"☆54Updated 2 years ago
- Contains legacy code and model examples for the paper "BayesFlow: Learning complex stochastic models with invertible neural networks"☆22Updated 4 years ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆43Updated 3 years ago
- Code for the ICLR 2020 paper "Learning to Control PDEs"☆32Updated 4 years ago
- Lie Algebra Convolutional Network implementation☆43Updated 3 years ago
- [NeurIPS 2019] LOIS: Learning to Optimize In Swarms, guided by posterior estimation☆18Updated 3 years ago
- Train PyTorch Models using the Genetic Algorithm with PyGAD☆97Updated 6 months ago
- ☆18Updated 4 years ago
- Code for "Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation" @ NeurIPS 2023☆13Updated last year
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆117Updated last year
- A Tensorflow implementation of the paper https://arxiv.org/pdf/1803.07710.pdf☆14Updated 5 years ago
- Implicit^2: Implicit model for implicit neural representations☆28Updated 3 years ago
- Pytorch implementation of the DWP with application to MRI segmentation☆9Updated 4 years ago
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 6 years ago
- diffGrad: An Optimization Method for Convolutional Neural Networks☆55Updated 2 years ago
- Source code for the ICLR'22 paper on "Half-Inverse Gradients"☆18Updated 2 years ago
- Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).☆20Updated 3 years ago
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 2 years ago
- JAX implementation of Graph Attention Networks☆13Updated 3 years ago
- Random Mesh Projectors for Inverse Problems☆24Updated 3 years ago
- B-Spline CNNs on Lie groups☆53Updated 5 years ago
- Simple Genetic Programming for Symbolic Regression in Python3☆25Updated 3 years ago
- implements various optimizers from scratch for analysis and comparison☆9Updated 4 years ago
- An organized collection of Reservoir Computing models and techniques that is well-integrated within the PyTorch API.☆18Updated 2 years ago