Alternatives and similar repositories for reverse-engineering-neural-networks:

Users that are interested in reverse-engineering-neural-networks are comparing it to the libraries listed below

• BerenMillidge / PredictiveCodingBackprop
  Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"
  ☆151Updated 4 years ago
• microsoft / coax
  This project was moved to: https://github.com/coax-dev/coax
  ☆160Updated 2 years ago
• google-research / computation-thru-dynamics
  Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.
  ☆376Updated 3 years ago
• julestalloen / pytorch-hebbian
  A lightweight and flexible framework for Hebbian learning in PyTorch.
  ☆86Updated last year
• google-deepmind / dm_alchemy
  DeepMind Alchemy task environment: a meta-reinforcement learning benchmark
  ☆199Updated 2 years ago
• EleutherAI / pyfra
  Python Research Framework
  ☆106Updated 2 years ago
• lucidrains / PaLM-jax
  Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways - in Jax (Equinox framework)
  ☆187Updated 2 years ago
• google-deepmind / jax_verify
  Neural network verification in JAX
  ☆142Updated last year
• DimaKrotov / Biological_Learning
  Example of "biological" learning for MNIST
  ☆293Updated 3 years ago
• distillpub / post--memorization-in-rnns
  Visualizing memorization in RNNs
  ☆66Updated 4 years ago
• bhoov / hamux
  Hierarchical Associative Memory User Experience
  ☆101Updated last year
• google / ihmehimmeli
  ☆141Updated 3 years ago
• numenta / nupic.research
  Experimental algorithms. Unsupported.
  ☆110Updated 9 months ago
• SelfishGene / neuron_as_deep_net
  Code behind the work "Single Cortical Neurons as Deep Artificial Neural Networks", published in Neuron 2021
  ☆150Updated 3 years ago
• electronicvisions / norse
  Deep learning for spiking neural networks
  ☆69Updated last year
• google / init2winit
  ☆74Updated this week
• aks2203 / easy-to-hard
  Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"
  ☆59Updated 3 years ago
• google-deepmind / neural_networks_chomsky_hierarchy
  Neural Networks and the Chomsky Hierarchy
  ☆205Updated last year
• google-deepmind / tf2jax
  ☆114Updated last week
• L0SG / feedback-alignment-pytorch
  Implementation of feedback alignment learning in PyTorch
  ☆31Updated last year
• nengo / keras-lmu
  Keras implementation of Legendre Memory Units
  ☆213Updated 3 weeks ago
• microsoft / Litmus
  AI Assistant for Building Reliable, High-performing and Fair Multilingual NLP Systems
  ☆46Updated 2 years ago
• google-deepmind / neural_testbed
  ☆192Updated 2 weeks ago
• RobertTLange / code-and-blog
  Some small scale experiments for my blog posts 📝
  ☆79Updated 2 years ago
• google-deepmind / physical_concepts
  ☆103Updated 3 years ago
• brendenlake / AAI-site
  NYU PSYCH-GA 3405.001 / DS-GA 3001.014 : Advancing AI through cognitive science
  ☆131Updated 6 years ago
• facebookresearch / MathsFromExamples
  Source code, datasets and trained models for the paper Learning Advanced Mathematical Computations from Examples (ICLR 2021), by François…
  ☆179Updated 3 years ago
• mle-infrastructure / mle-hyperopt
  Lightweight Hyperparameter Optimization 🚂
  ☆147Updated 8 months ago
• tk-rusch / coRNN
  Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)
  ☆43Updated 3 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆59Updated 4 years ago