Alternatives and similar repositories for keras-ncp

Users that are interested in keras-ncp are comparing it to the libraries listed below

• raminmh / liquid-s4
  Liquid Structural State-Space Models
  ☆359Updated last year
• raminmh / CfC
  Closed-form Continuous-time Neural Networks
  ☆958Updated 11 months ago
• makramchahine / drone_causality
  Training, data processing, and analysis code used for the paper "Robust Visual Flight Navigation with Liquid Neural Networks".
  ☆79Updated 9 months ago
• mlech26l / ncps
  PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
  ☆2,170Updated 10 months ago
• raminmh / liquid_time_constant_networks
  Code Repository for Liquid Time-Constant Networks (LTCs)
  ☆1,695Updated last year
• safipatel / LNN-cancer-classification
  Liquid neural networks for cancer image classification
  ☆74Updated last year
• KPEKEP / LTCtutorial
  Tutorial to implement Liquid Time-Constant Neural Network from scratch (eng\rus)
  ☆25Updated last year
• ridgerchu / SpikeGPT
  Implementation of "SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks"
  ☆821Updated 5 months ago
• Zhangyanbo / MLP-KAN
  Kolmogorov–Arnold Networks with modified activation (using MLP to represent the activation)
  ☆105Updated 8 months ago
• riiswa / kanrl
  Kolmogorov-Arnold Network for Reinforcement Leaning, initial experiments
  ☆286Updated 2 months ago
• malcolmw / LTCNN
  TensorFlow implementation of Liquid Time-Constant Neural Network layers
  ☆21Updated 3 years ago
• remigenet / TKAN
  TKAN: Temporal Kolmogorov-Arnold Networks
  ☆208Updated 6 months ago
• fg-research / lnn-sagemaker
  SageMaker implementation of liquid neural networks (LNNs) for time series forecasting.
  ☆34Updated 9 months ago
• ago109 / predictive-forward-forward
  Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurren…
  ☆60Updated 2 years ago
• muditbhargava66 / PyxLSTM
  Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.
  ☆292Updated last year
• KalmanNet / KalmanNet_TSP
  code for KalmanNet
  ☆345Updated last year
• myscience / x-lstm
  Pytorch implementation of the xLSTM model by Beck et al. (2024)
  ☆167Updated 10 months ago
• jannerm / trajectory-transformer
  Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"
  ☆502Updated 2 years ago
• makramchahine / rosetta_drone
  ☆24Updated last year
• AI-Guru / xlstm-resources
  Resources about xLSTM by Sepp Hochreiter
  ☆315Updated 7 months ago
• andrewgcodes / xlstm
  my attempts at implementing various bits of Sepp Hochreiter's new xLSTM architecture
  ☆130Updated last year
• HazyResearch / spacetime
  Code for SpaceTime 🌌⏱️. Proposed in Effectively Modeling Time Series with Simple Discrete State Spaces, ICLR 2023.
  ☆175Updated 2 years ago
• zshicode / Deep-Learning-Based-State-Estimation
  Incorporating Transformer and LSTM to Kalman Filter with EM algorithm
  ☆179Updated 2 years ago
• lindermanlab / S5
  ☆292Updated 5 months ago
• smvorwerk / xlstm-cuda
  Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports
  ☆87Updated last year
• PatchTST / PatchTST
  An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers."
  ☆79Updated 2 years ago
• lucidrains / q-transformer
  Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind
  ☆383Updated last week
• aikunyi / FilterNet
  Official implementation of the paper "FilterNet: Harnessing Frequency Filters for Time Series Forecasting"
  ☆193Updated 4 months ago
• kyegomez / LiqudNet
  Implementation of Liquid Nets in Pytorch
  ☆67Updated 2 months ago
• ridgerchu / SAD
  End-to-End Autonomous Driving with Spiking Neural Networks
  ☆79Updated 5 months ago