borchero / pyblaze

Related projects: ⓘ

• ganguli-lab / degrees-of-freedom
  ☆35Updated 2 years ago
• xbresson / IPAM_Tutorial_2019
  Notebooks for IPAM Tutorial, March 15 2019
  ☆24Updated 5 years ago
• samihaija / tf-fsvd
  Functional TensorFlow Implementation of Singular Value Decomposition for paper Fast Graph Learning
  ☆14Updated 3 years ago
• gebob19 / introduction_to_normalizing_flows
  Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'
  ☆25Updated 3 years ago
• cunningham-lab / cb_and_cc
  ☆35Updated last year
• lzzcd001 / ade-code
  Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)
  ☆13Updated 4 years ago
• facebookresearch / Addressing-the-Topological-Defects-of-Disentanglement
  Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"
  ☆23Updated 2 years ago
• ExpectationMax / sklearn-jax-kernels
  Composable kernels for scikit-learn implemented in JAX.
  ☆41Updated 3 years ago
• ml-retrospectives / ml-retrospectives.github.io
  ☆27Updated last year
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 2 years ago
• papamarkou / eeyore
  MCMC methods for neural networks
  ☆10Updated 4 months ago
• jmtomczak / git_flow
  General Invertible Transformations for Flow-based Generative Models
  ☆17Updated 3 years ago
• geomstats / applications
  Examples of more involved applications using Geomstats
  ☆32Updated 3 years ago
• KarenUllrich / binary-VAE
  A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
  ☆21Updated 4 years ago
• CalculatedContent / ImplicitSelfRegularization
  Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."
  ☆40Updated 5 years ago
• gwgundersen / rflvm
  Random feature latent variable models in Python
  ☆21Updated last year
• MichaelArbel / GeneralizedEBM
  ☆52Updated last month
• ml-jku / quam
  Quantification of Uncertainty with Adversarial Models
  ☆27Updated last year
• ofnote / tsanley
  A runtime shape checker and auto-annotator for tensor programs (pronounced "stanley")
  ☆39Updated 4 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 3 years ago
• sssohrab / rho_VAE
  rho_VAE: an autoregressive parametrization of the VAE encoder
  ☆14Updated 5 years ago
• djsutherland / igms
  Implicit generative models and related stuff based on the MMD, in PyTorch
  ☆16Updated 3 years ago
• matt-graham / phd-thesis
  Auxiliary variable Markov chain Monte Carlo methods
  ☆10Updated 6 years ago
• KordingLab / hilbert-constrained-gradient-descent
  Pytorch optimizers implementing Hilbert Constrained Gradient Descent
  ☆18Updated 5 years ago
• uber-research / vargp
  Variational Auto-Regressive Gaussian Processes for Continual Learning
  ☆20Updated 3 years ago
• remilepriol / causal-adaptation-speed
  Investigate the speed of adaptation of structural causal models
  ☆16Updated 3 years ago
• SebFar / radial_bnn
  Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
  ☆33Updated 4 years ago
• ahthie7u / cockpit
  Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"
  ☆31Updated 3 years ago
• andrewk1 / correctandsmooth
  Simple correct&smooth implementation in PyTorch.
  ☆11Updated last year
• vitalab / neuralteleportation
  Isomorphisms of quiver representations applied to neural networks.
  ☆15Updated last month