Alternatives and similar repositories for panda

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

• qiauil / torchfsm
  TorchFSM: Fourier Spectral Method with PyTorch
  ☆43Updated this week
• tk-rusch / linoss
  Oscillatory State-Space Models
  ☆83Updated 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 10 months ago
• PolymathicAI / multiple_physics_pretraining
  Code for paper "Multiple Physics Pretraining for Physical Surrogate Models
  ☆164Updated 5 months ago
• diffprog / code
  Code for the book "The Elements of Differentiable Programming".
  ☆86Updated 2 months ago
• GilpinLab / dysts
  Hundreds of strange attractors
  ☆471Updated 2 weeks ago
• williamgilpin / shrec
  Reconstructing shared causal drivers from noisy time series
  ☆53Updated 7 months ago
• ml-jku / GINNs-Geometry-informed-Neural-Networks
  ☆164Updated 3 months ago
• srigas / jaxKAN
  Kolmogorov-Arnold Networks built on JAX
  ☆77Updated last month
• facebookresearch / SSLForPDEs
  Code for Lie Symmetries SSL paper
  ☆22Updated last year
• Iolo-Jones / ManifoldDiffusionGeometry
  Code for "Manifold Diffusion Geometry: Curvature, Tangent Spaces, and Dimension"
  ☆44Updated 6 months ago
• pnkraemer / probdiffeq
  Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…
  ☆47Updated last month
• vtabbott / Algebraic-NCD
  A package for defining deep learning models using categorical algebraic expressions.
  ☆60Updated 10 months ago
• alexandersoen / pyBregMan
  ☆28Updated 4 months ago
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆357Updated last month
• francoisfleuret / picogpt
  Minimal GPT (~350 lines with a simple task to test it)
  ☆61Updated 5 months ago
• neuraloperator / bootcamp
  Bootcamp notebooks
  ☆54Updated last year
• Sohl-Dickstein / fractal
  The boundary of neural network trainability is fractal
  ☆204Updated last year
• thebuckleylab / jpc
  Flexible Inference for Predictive Coding Networks in JAX.
  ☆45Updated this week
• ruke1ire / RTF
  A State-Space Model with Rational Transfer Function Representation.
  ☆78Updated last year
• MilesCranmer / pysr_paper
  A paper describing the implementation of PySR and SymbolicRegression.jl
  ☆58Updated last year
• misko / human_descent
  ☆36Updated 5 months ago
• borjanG / 2023-transformers-rotf
  Codes for the paper "A mathematical perspective on Transformers".
  ☆36Updated 10 months ago
• geometric-intelligence / TopoBench
  TopoBench is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning
  ☆119Updated last week
• xl0 / lovely-jax
  JAX Arrays for human consumption
  ☆91Updated last year
• normal-computing / thermox
  Exact OU processes with JAX
  ☆47Updated 2 months ago
• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆423Updated this week
• hadivafaii / IterativeVAE
  Brain-like variational inference
  ☆49Updated 2 weeks ago
• alonfnt / pcax
  Differentiable Principal Component Analysis (PCA) implementation in JAX
  ☆27Updated last month
• probabilists / azula
  Diffusion models in PyTorch
  ☆102Updated 2 months ago