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)☆46Updated 3 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆14Updated last year
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆35Updated 5 years ago
- Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series☆118Updated 2 years ago
- ☆51Updated last year
- Official code for the ICLR 2021 paper Neural ODE Processes☆73Updated 3 years ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆118Updated 4 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- ☆14Updated 2 years ago
- An Echo State Network module for PyTorch.☆226Updated 2 years ago
- codebase for "A Theory of the Inductive Bias and Generalization of Kernel Regression and Wide Neural Networks"☆49Updated 2 years ago
- Official code for UnICORNN (ICML 2021)☆27Updated 3 years ago
- PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym☆38Updated 11 months ago
- ☆18Updated 4 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆59Updated 10 months ago
- ☆51Updated last year
- Awesome tutorials, papers, projects and tools for Reservoir Computing techniques like Echo State Networks (ESN).☆54Updated 3 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated 4 years ago
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆38Updated 2 years ago
- TIme series DiscoverY BENCHmark (tidybench)☆38Updated last year
- Code for "Deep Signature Transforms" (NeurIPS 2019)☆95Updated last year
- Learning to Learn: Gradient-free Optimization framework☆36Updated 4 years ago
- An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)☆41Updated 3 years ago
- Library for Bayesian Quadrature☆32Updated 6 years ago
- RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…☆95Updated 2 years ago
- Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"☆100Updated 6 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- 💡 Learnergy is a Python library for energy-based machine learning models.☆66Updated 5 months ago