Alternatives and similar repositories for DeepDataProfiler:

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

• alexOarga / haiku-geometric
  A collection of graph neural networks implementations in JAX
  ☆31Updated last year
• leonard-gleyzer / connex
  Fine-grained, dynamic control of neural network topology in JAX.
  ☆21Updated last year
• aidos-lab / dect-evaluation
  Differentiable Euler Characteristic Transform
  ☆17Updated 8 months ago
• necludov / action-matching
  Implementation of Action Matching for the Schrödinger equation
  ☆24Updated last year
• willieneis / bayesian-algorithm-execution
  Bayesian algorithm execution (BAX)
  ☆49Updated 3 years ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆48Updated last year
• mfinzi / olive-oil-ml
  ☆14Updated last year
• mcbal / afem
  Implementation of approximate free-energy minimization in PyTorch
  ☆18Updated 3 years ago
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 3 years ago
• maxxxzdn / implicit-steerable-kernels
  Official repository of Implicit Neural Convolutional Kernels for Steerable CNNs, Zhdanov et al.
  ☆28Updated 11 months ago
• jejjohnson / research_journal
  My Research Journal covering various topics that interest me. They're mostly scattered notes and resources.
  ☆32Updated 2 years ago
• clabat9 / Tangent-Bundle-Neural-Networks
  Codes for the Numerical Results of the paper "Tangent Bundle Neural Networks: from Manifolds to Celullar Sheaves and Back"
  ☆11Updated last year
• google-deepmind / annealed_flow_transport
  ☆49Updated last year
• PrincetonLIPS / AHGP
  [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)
  ☆21Updated 4 years ago
• necludov / oMCMC
  orbital MCMC
  ☆10Updated 3 years ago
• samuelstanton / conformal-bayesopt
  Bayesian optimization with conformal coverage guarantees
  ☆27Updated 2 years ago
• necludov / jam
  Implementation of Action Matching
  ☆38Updated last year
• dimitra-maoutsa / odes_for_sdes
  Deterministic particle dynamics for simulating Fokker-Planck probability flows
  ☆24Updated last year
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆36Updated 2 years ago
• lrnzgiusti / on-oversquashing
  Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
  ☆14Updated last year
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated last year
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆37Updated 2 years ago
• maxxxzdn / jax-geometric
  Implementation of various equivariant models in JAX
  ☆12Updated 10 months ago
• imbirik / LieStationaryKernels
  Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
  ☆42Updated last year
• ngruver / lie-deriv
  ☆37Updated 2 years ago
• google-research / gpax
  ☆30Updated 5 months ago
• risilab / Autobahn
  Repository for Autobahn: Automorphism Based Graph Neural Networks
  ☆29Updated 2 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆82Updated last year
• AWehenkel / Graphical-Normalizing-Flows
  Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…
  ☆45Updated last year
• MJHutchinson / ExtrinsicGaugeIndependentVectorGPs
  A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes
  ☆25Updated 3 years ago