danieleds / TorchRCLinks
An organized collection of Reservoir Computing models and techniques that is well-integrated within the PyTorch API.
☆17Updated 2 years ago
Alternatives and similar repositories for TorchRC
Users that are interested in TorchRC are comparing it to the libraries listed below
Sorting:
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆48Updated 4 years ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆36Updated 5 years ago
- Learning to Learn: Gradient-free Optimization framework☆36Updated 4 years ago
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆38Updated 2 years ago
- Spiking neuron integration for PyTorch☆41Updated 6 months ago
- Official code for UnICORNN (ICML 2021)☆28Updated 3 years ago
- PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym☆38Updated last year
- Pytorch implementation of Recurrent Neural Processes https://arxiv.org/pdf/1906.05915.pdf☆22Updated 6 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆74Updated 3 years ago
- Echo state network framework, NARMA10 dataset generator as an demonstration supplied.☆20Updated 7 years ago
- Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."☆45Updated 6 years ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆118Updated 4 years ago
- RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…☆95Updated 2 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆60Updated 11 months ago
- Awesome tutorials, papers, projects and tools for Reservoir Computing techniques like Echo State Networks (ESN).☆54Updated 3 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆14Updated last year
- ☆15Updated 2 years ago
- Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series☆118Updated 2 years ago
- a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning☆45Updated 2 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 7 years ago
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆160Updated 4 years ago
- ☆30Updated 3 years ago
- An Echo State Network module for PyTorch.☆226Updated last week
- 💡 Learnergy is a Python library for energy-based machine learning models.☆68Updated 6 months ago
- Minimal PyTorch Library for Natural Evolution Strategies☆17Updated 3 years ago
- Implementation of restricted Boltzmann machine, deep Boltzmann machine, deep belief network, and deep restricted Boltzmann network models…☆12Updated 4 years ago
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Updated 2 years ago
- A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium☆21Updated 4 years ago
- ☆51Updated last year