Alternatives and similar repositories for hades

Users that are interested in hades are comparing it to the libraries listed below

• vtabbott / Algebraic-NCD
  A package for defining deep learning models using categorical algebraic expressions.
  ☆61Updated last year
• sophiaas / spectral-universality
  Official PyTorch and JAX Implementation of "Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks"
  ☆38Updated last year
• bhoov / energy-transformer-jax
  The Energy Transformer block, in JAX
  ☆59Updated last year
• Rose-STL-Lab / AutoSTPP
  Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…
  ☆25Updated 11 months ago
• Artur-Galstyan / statedict2pytree
  ☆43Updated last month
• cgarciae / einop
  ☆60Updated 3 years ago
• Iolo-Jones / DiffusionGeometry
  The code for "Diffusion Geometry" (2024).
  ☆43Updated last year
• akandykeller / NeuralWaveMachines
  Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …
  ☆73Updated 2 years ago
• COR-OPT / SuperPolyak.py
  Pytorch implementation of SuperPolyak subgradient method.
  ☆43Updated 2 years ago
• AhmedImtiazPrio / grok-adversarial
  Deep Networks Grok All the Time and Here is Why
  ☆37Updated last year
• francoisfleuret / picogpt
  Minimal GPT (~350 lines with a simple task to test it)
  ☆62Updated 9 months ago
• keyonvafa / world-model-evaluation
  ☆63Updated 10 months ago
• konstantinosKokos / ape
  🧮 Algebraic Positional Encodings.
  ☆16Updated last month
• AndPotap / einsum-search
  ☆32Updated 11 months ago
• HEmile / neurosymbolic-diffusion
  We integrate discrete diffusion models with neurosymbolic predictors for scalable and calibrated learning and reasoning
  ☆41Updated 3 months ago
• smearle / autoverse
  Generative cellular automaton-like learning environments for RL.
  ☆19Updated 7 months ago
• jmtomczak / vae_kan_example
  A simple example of VAEs with KANs
  ☆12Updated last year
• yk / llmvm
  ☆30Updated last year
• alexandersoen / pyBregMan
  ☆30Updated last month
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆37Updated 2 years ago
• watcl-lab / positional_attention
  Source code for the paper "Positional Attention: Expressivity and Learnability of Algorithmic Computation"
  ☆14Updated 3 months ago
• MilesCranmer / pysr_scaling_laws
  You should use PySR to find scaling laws. Here's an example.
  ☆33Updated last year
• yobibyte / report
  Because we don't want a jupyter notebook mess...
  ☆61Updated 3 months ago
• imbirik / LieStationaryKernels
  Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
  ☆43Updated last year
• Iolo-Jones / ManifoldDiffusionGeometry
  Code for "Manifold Diffusion Geometry: Curvature, Tangent Spaces, and Dimension"
  ☆44Updated 10 months ago
• hadivafaii / IterativeVAE
  Brain-like variational inference
  ☆58Updated 4 months ago
• nocotan / awesome-information-geometry
  About A collection of AWESOME things about information geometry Topics
  ☆165Updated last year
• genlm / llamppl
  Probabilistic programming with large language models
  ☆135Updated last month
• probabilists / azula
  Diffusion models in PyTorch
  ☆110Updated last week
• bremen79 / precise
  Portfolio REgret for Confidence SEquences
  ☆20Updated 9 months ago