raminmh / CfCLinks
Closed-form Continuous-time Neural Networks
☆962Updated last year
Alternatives and similar repositories for CfC
Users that are interested in CfC are comparing it to the libraries listed below
Sorting:
- Liquid Structural State-Space Models☆361Updated last year
- Code Repository for Liquid Time-Constant Networks (LTCs)☆1,709Updated last year
- PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models☆2,183Updated 11 months ago
- ☆175Updated 2 years ago
- Structured state space sequence models☆2,684Updated last year
- Implementation of "SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks"☆827Updated 6 months ago
- Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.☆1,068Updated 3 weeks ago
- ☆738Updated last year
- Deep learning with spiking neural networks (SNNs) in PyTorch.☆742Updated this week
- ☆295Updated 6 months ago
- Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation☆1,479Updated last year
- A simple and flexible code for Reservoir Computing architectures like Echo State Networks☆547Updated last week
- Tutorial to implement Liquid Time-Constant Neural Network from scratch (eng\rus)☆27Updated last year
- Hopfield Networks is All You Need☆1,825Updated 2 years ago
- ☆780Updated last month
- An implementation of "Retentive Network: A Successor to Transformer for Large Language Models"☆1,198Updated last year
- Code for the paper "Next Generation Reservoir Computing"☆178Updated 3 years ago
- TensorFlow implementation of Liquid Time-Constant Neural Network layers☆21Updated 3 years ago
- Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.☆839Updated 9 months ago
- FastKAN: Very Fast Implementation of Kolmogorov-Arnold Networks (KAN)☆425Updated last year
- ☆902Updated last year
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,508Updated last year
- Deep and online learning with spiking neural networks in Python☆1,635Updated 3 weeks ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆1,600Updated this week
- Hundreds of strange attractors☆481Updated 2 weeks ago
- ☆175Updated 2 years ago
- Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.☆381Updated last year
- Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"☆757Updated last year
- Convolutions for Sequence Modeling☆893Updated last year
- Kolmogorov-Arnold Network for Reinforcement Leaning, initial experiments☆283Updated 3 months ago