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

• google-deepmind / neural_testbed
  ☆192Updated 2 months ago
• RobertTLange / code-and-blog
  Some small scale experiments for my blog posts 📝
  ☆79Updated 3 years ago
• RobertTLange / reading-notes-ml
  Progress, Notes, Summaries and a lot of Questions on Machine Learning
  ☆55Updated 5 years ago
• microsoft / coax
  This project was moved to: https://github.com/coax-dev/coax
  ☆160Updated 2 years ago
• google-deepmind / dm_alchemy
  DeepMind Alchemy task environment: a meta-reinforcement learning benchmark
  ☆199Updated 2 years ago
• google-deepmind / tf2jax
  ☆114Updated 3 weeks ago
• facebookresearch / MathsFromExamples
  Source code, datasets and trained models for the paper Learning Advanced Mathematical Computations from Examples (ICLR 2021), by François…
  ☆180Updated 3 years ago
• google-deepmind / physical_concepts
  ☆106Updated 3 years ago
• BerenMillidge / PredictiveCodingBackprop
  Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"
  ☆156Updated 4 years ago
• google-research / computation-thru-dynamics
  Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.
  ☆380Updated 4 years ago
• chandar-lab / RLHive
  ☆101Updated last year
• google-deepmind / jaxline
  ☆157Updated last year
• isapome / BrainProp
  BrainProp: How the brain can implement reward-based error backpropagation
  ☆16Updated 2 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆59Updated 5 years ago
• mle-infrastructure / mle-hyperopt
  Lightweight Hyperparameter Optimization 🚂
  ☆147Updated 10 months ago
• openai / ai-and-efficiency
  Submissions for AI and Efficiency SOTA's
  ☆56Updated 5 years ago
• kingoflolz / swarm-jax
  Swarm training framework using Haiku + JAX + Ray for layer parallel transformer language models on unreliable, heterogeneous nodes
  ☆239Updated 2 years ago
• Guillemdb / FractalAI
  Celular automaton-based calculus for the masses
  ☆112Updated 5 years ago
• probml / probml-notebooks
  Notebooks for "Probabilistic Machine Learning" book
  ☆203Updated 3 years ago
• EleutherAI / pyfra
  Python Research Framework
  ☆106Updated 2 years ago
• neurogym / neurogym
  A curated collection of neuroscience tasks with a common interface.
  ☆284Updated this week
• aleatory-science / deep-probprog-course
  Deep Probabilistic Programming Course @ DIKU
  ☆57Updated 4 years ago
• awjuliani / neuro-nav
  A library for neuroscience-inspired navigation and decision making research.
  ☆206Updated 4 months ago
• facebookresearch / GraphLog
  API for accessing the GraphLog dataset
  ☆90Updated last year
• coax-dev / coax
  Modular framework for Reinforcement Learning in python
  ☆173Updated 2 years ago
• clemkoa / ntm
  Neural Turing Machines in pytorch
  ☆48Updated 3 years ago
• YigitDemirag / forward-gradients
  JAX implementation of "Gradients without Backpropagation" paper
  ☆24Updated 2 years ago
• zfountas / deep-active-inference-mc
  Deep active inference agents using Monte-Carlo methods
  ☆90Updated last week
• openai / LHOPT
  Learned Hyperparameter Optimizers
  ☆59Updated 4 years ago
• julestalloen / pytorch-hebbian
  A lightweight and flexible framework for Hebbian learning in PyTorch.
  ☆87Updated last year