Alternatives and similar repositories for Thermodynamic-Neural-Network---Public:

Users that are interested in Thermodynamic-Neural-Network---Public are comparing it to the libraries listed below

• IDSIA / neuraldiffeq-fwp
  Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (…
  ☆22Updated 2 years ago
• mcbal / afem
  Implementation of approximate free-energy minimization in PyTorch
  ☆19Updated 3 years ago
• normal-computing / thermox
  Exact OU processes with JAX
  ☆42Updated last month
• lio-wong / dreamcoder
  ☆64Updated 3 years ago
• appliedgeometry / poissongeometry
  A Python module for (local) Poisson-Nijenhuis calculus on Poisson manifolds
  ☆13Updated 6 months ago
• bhoov / energy-transformer-jax
  The Energy Transformer block, in JAX
  ☆57Updated last year
• msuzen / bristol
  Parallel random matrix tools and complexity for deep learning
  ☆33Updated last year
• geometric-intelligence / neurometry
  Quantify geometric intelligence in natural and artificial brains.
  ☆50Updated 5 months ago
• mcbal / deep-implicit-attention
  Implementation of deep implicit attention in PyTorch
  ☆65Updated 3 years ago
• iarai / science4cast
  Details for the Science4Cast competition
  ☆62Updated 2 years ago
• EleMisi / VAEL
  Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
  ☆20Updated last year
• HEmile / a-nesi
  A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
  ☆14Updated 2 months ago
• IBM / AI-Hilbert
  AI Hilbert is an algebraic geometric based discovery system (based on Putinar's Positivstellensatz), that enables the discovery of fundam…
  ☆31Updated 9 months ago
• crunchiness / lernd
  Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.
  ☆24Updated 2 years ago
• TrentBrick / attention-approximates-sdm
  Code for the paper "Attention Approximates Sparse Distributed Memory"
  ☆23Updated 3 years ago
• arvoelke / nengolib
  Nengo library of additional extensions
  ☆29Updated 2 years ago
• gengala / egnca
  Official implementation of E(n)-equivariant Graph Neural Cellular Automata
  ☆28Updated last year
• thebuckleylab / jpc
  Flexible Inference for Predictive Coding Networks in JAX.
  ☆32Updated 2 weeks ago
• sphinxteam / DukeLecture2018
  Set of Lecture at Duke in 2018 by Lenka Zdeborova and Florent Krzakala "Statistical Physics For Optimization and Learning"
  ☆16Updated 5 years ago
• KazuyaHoribe / RegeneratingSoftRobots
  ☆19Updated 3 years ago
• enajx / HyperNCA
  ☆38Updated 2 years ago
• dimarkov / bmr4pml
  Bayesian model reduction for probabilistic machine learning
  ☆11Updated last week
• eperrier / quant-geom-machine-learning
  ☆23Updated 3 years ago
• uzulim / hades
  Fast singularity detection with kernel
  ☆33Updated last year
• Saran-nns / sorn
  PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym
  ☆37Updated 7 months ago
• sztal / pybdm
  Python implementation of block decomposition method for approximating algorithmic complexity
  ☆36Updated 9 months ago
• tomekkorbak / active-inference
  A toy model of Friston's active inference in Tensorflow
  ☆40Updated 7 years ago
• konstantinosKokos / ape
  🧮 Algebraic Positional Encodings.
  ☆12Updated 3 months ago
• FutureComputing4AI / Learning-with-Holographic-Reduced-Representations
  ☆27Updated 3 years ago
• sophiaas / spectral-universality
  Official PyTorch and JAX Implementation of "Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks"
  ☆38Updated last year