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 3 weeks ago
• facebookresearch / MathsFromExamples
  Source code, datasets and trained models for the paper Learning Advanced Mathematical Computations from Examples (ICLR 2021), by François…
  ☆181Updated 3 years ago
• microsoft / coax
  This project was moved to: https://github.com/coax-dev/coax
  ☆160Updated 2 years ago
• EleutherAI / pyfra
  Python Research Framework
  ☆106Updated 2 years ago
• google-deepmind / tf2jax
  ☆114Updated last week
• BerenMillidge / PredictiveCodingBackprop
  Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"
  ☆158Updated 4 years ago
• RobertTLange / code-and-blog
  Some small scale experiments for my blog posts 📝
  ☆79Updated 3 years ago
• google / init2winit
  ☆76Updated last week
• google-deepmind / physical_concepts
  ☆106Updated 3 years ago
• openai / ai-and-efficiency
  Submissions for AI and Efficiency SOTA's
  ☆56Updated 5 years ago
• lucidrains / PaLM-jax
  Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways - in Jax (Equinox framework)
  ☆187Updated 3 years ago
• numenta / nupic.research
  Experimental algorithms. Unsupported.
  ☆111Updated 11 months ago
• mila-iqia / paperoni
  Search for scientific papers on the command line
  ☆104Updated last week
• google-deepmind / enn
  ☆312Updated 4 months ago
• google-deepmind / jaxline
  ☆157Updated last year
• google-deepmind / dm_alchemy
  DeepMind Alchemy task environment: a meta-reinforcement learning benchmark
  ☆199Updated 2 years ago
• mle-infrastructure / mle-hyperopt
  Lightweight Hyperparameter Optimization 🚂
  ☆147Updated 10 months ago
• RobertTLange / reading-notes-ml
  Progress, Notes, Summaries and a lot of Questions on Machine Learning
  ☆55Updated 5 years ago
• probml / probml-notebooks
  Notebooks for "Probabilistic Machine Learning" book
  ☆203Updated 3 years ago
• 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
• clemkoa / ntm
  Neural Turing Machines in pytorch
  ☆48Updated 3 years ago
• bhoov / hamux
  Hierarchical Associative Memory User Experience
  ☆101Updated this week
• 4rtemi5 / imax
  Image augmentation library for Jax
  ☆39Updated last year
• valayDave / arxiv-miner
  arxiv_miner is a toolkit for mining research papers on CS ArXiv.
  ☆136Updated last year
• google-deepmind / launchpad
  ☆322Updated last year
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆60Updated 5 years ago
• shawwn / ml-notes
  ☆39Updated 2 years ago
• openai / LHOPT
  Learned Hyperparameter Optimizers
  ☆59Updated 4 years ago
• google-deepmind / jax_verify
  Neural network verification in JAX
  ☆145Updated last year
• kingoflolz / swarm-jax
  Swarm training framework using Haiku + JAX + Ray for layer parallel transformer language models on unreliable, heterogeneous nodes
  ☆239Updated 2 years ago