Alternatives and similar repositories for ngc-learn

Users that are interested in ngc-learn are comparing it to the libraries listed below

• 8erberg / spatially-embedded-RNN
  Repository for example implementation of spatially-embedded RNNs. See https://www.jachterberg.com/seRNN for more information.
  ☆47Updated 3 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
• liukidar / pcx
  Predictive Coding JAX-based library
  ☆82Updated 6 months ago
• Poirazi-Lab / dendrify
  Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator.
  ☆43Updated 8 months ago
• vicariousinc / naturecomm_cscg
  ☆41Updated 3 years ago
• BerenMillidge / PredictiveCodingBackprop
  Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"
  ☆162Updated 4 years ago
• BerenMillidge / Predictive_Coding_Papers
  A repository collating interesting and/or influential predictive coding papers
  ☆89Updated 4 years ago
• kmheckel / spyx
  Spyx: Spiking Neural Networks in JAX
  ☆126Updated last year
• jsalbert / biotorch
  BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms
  ☆53Updated last year
• julestalloen / pytorch-hebbian
  A lightweight and flexible framework for Hebbian learning in PyTorch.
  ☆91Updated last year
• YuhangSong / Prospective-Configuration
  This repository contains the code for the paper "Inferring Neural Activity Before Plasticity: A Foundation for Learning Beyond Backpropag…
  ☆133Updated last year
• alec-tschantz / predcoding
  A Python Implementation of Predictive Coding (Whittington & Bogacz 2017)
  ☆18Updated 5 years ago
• NeuromorphicComputing / SoftHebb
  ☆90Updated last year
• IBM / neuro-vector-symbolic-architectures
  PyTorch Implementation of the paper "A Neuro-vector-symbolic architecture for Solving Raven's Progressive Matrices" published in Nature M…
  ☆96Updated last month
• jbakermans / torch_tem
  Implementation of the Tolman Eichenbaum Machine in pytorch
  ☆166Updated 3 years ago
• djcrw / generalising-structural-knowledge
  ☆197Updated 3 years ago
• BerenMillidge / FEP_Active_Inference_Papers
  A repository for major/influential FEP and active inference papers.
  ☆211Updated 4 years ago
• SelfishGene / neuron_as_deep_net
  Code behind the work "Single Cortical Neurons as Deep Artificial Neural Networks", published in Neuron 2021
  ☆158Updated 3 years ago
• Saran-nns / sorn
  PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym
  ☆38Updated last year
• enajx / HebbianMetaLearning
  Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
  ☆143Updated 4 years ago
• ComputationalPsychiatry / pyhgf
  PyHGF: A neural network library for predictive coding
  ☆102Updated 3 weeks ago
• RobertRosenbaum / Torch2PC
  Software for using predictive coding algorithms to train PyTorch models.
  ☆26Updated last year
• infer-actively / pypc
  Predictive coding in Python
  ☆69Updated last year
• NeuromorphicComputing / STPN
  ☆29Updated 2 years ago
• Kinds-of-Intelligence-CFI / animal-ai
  Animal-AI supports interdisciplinary research to help better understand human, animal, and artificial cognition.
  ☆78Updated 3 weeks ago
• ykubo82 / bioCHL
  Neurons learn by predicting future activity
  ☆29Updated 3 years ago
• fzenke / spytorch
  Tutorial for surrogate gradient learning in spiking neural networks
  ☆339Updated last year
• awjuliani / neuro-nav
  A library for neuroscience-inspired navigation and decision making research.
  ☆209Updated 8 months ago
• romanpogodin / towards-bio-plausible-conv
  ☆14Updated 4 years ago
• neuroailab / TDANN
  Topographic Deep Artificial Neural Networks
  ☆53Updated this week