Alternatives and similar repositories for deep-learning-with-pytorch

Users that are interested in deep-learning-with-pytorch are comparing it to the libraries listed below

• gebob19 / introduction_to_normalizing_flows
  Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'
  ☆27Updated 4 years ago
• ganguli-lab / degrees-of-freedom
  ☆37Updated 3 years ago
• juliagusak / neural-ode-metasolver
  Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561
  ☆25Updated 4 years ago
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆77Updated last year
• juliagusak / neural-ode-norm
  Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"
  ☆16Updated 5 years ago
• ExpectationMax / sklearn-jax-kernels
  Composable kernels for scikit-learn implemented in JAX.
  ☆43Updated 4 years ago
• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆28Updated 4 years ago
• craffel / jax-tutorial
  A tutorial on JAX (https://github.com/google/jax/)
  ☆46Updated 6 years ago
• ermongroup / SPN_Variational_Inference
  PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
  ☆17Updated 3 years ago
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 3 years ago
• jmtomczak / git_flow
  General Invertible Transformations for Flow-based Generative Models
  ☆18Updated 4 years ago
• n2cholas / shapecheck
  Framework-agnostic library for checking array/tensor shapes at runtime.
  ☆46Updated 4 years ago
• ethanluoyc / dhmc-jax
  Discontinuous Hamiltonian Monte Carlo in JAX
  ☆41Updated 5 years ago
• remilepriol / causal-adaptation-speed
  Investigate the speed of adaptation of structural causal models
  ☆15Updated 4 years ago
• gwgundersen / rflvm
  Random feature latent variable models in Python
  ☆22Updated last year
• tk-rusch / unicornn
  Official code for UnICORNN (ICML 2021)
  ☆27Updated 3 years ago
• jambo6 / neuralRDEs
  Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)
  ☆118Updated 4 years ago
• kazukiosawa / ngd_in_wide_nn
  simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…
  ☆14Updated 4 years ago
• gerdm / bayes
  Neat Bayesian machine learning examples
  ☆58Updated 3 weeks ago
• franrruiz / uivi
  Code for Unbiased Implicit Variational Inference (UIVI)
  ☆14Updated 6 years ago
• vtopt / qnstop
  Quasi-Newton Algorithm for Stochastic Optimization
  ☆10Updated 3 years ago
• srush / jax-lda
  ☆30Updated 3 years ago
• nestordemeure / flaxOptimizers
  A collection of optimizers, some arcane others well known, for Flax.
  ☆29Updated 3 years ago
• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆44Updated 7 years ago
• probml / JSL
  Jax SSM Library
  ☆49Updated 2 years ago
• pyro-ppl / pyro-models
  Repository of models in Pyro
  ☆29Updated 11 months ago
• patrick-kidger / Deep-Signature-Transforms
  Code for "Deep Signature Transforms" (NeurIPS 2019)
  ☆94Updated 11 months ago
• KarenUllrich / binary-VAE
  A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
  ☆22Updated 5 years ago
• thegregyang / NNspectra
  Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube
  ☆47Updated 5 years ago
• hadyelsahar / EBM-visualizations
  notebooks of cool EBM visualizations
  ☆15Updated 4 years ago