takahashihiroshi

takahashihiroshi's Stars

• williamFalcon/pytorch-lightning-vae

  VAE for color images

  Language:Python20620

• jmtomczak/git_flow

  General Invertible Transformations for Flow-based Generative Models

  Language:Python172

• benrhodes26/tre_code

  Language:Python224

• google-deepmind/lab2d

  A customisable 2D platform for agent-based AI research

  Language:C++42153

• bayesiains/nflows

  Normalizing flows in PyTorch

  Language:Python832119

• NVlabs/NVAE

  The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)

  Language:Python1k163

• johannbrehmer/manifold-flow

  Manifold-learning flows (ℳ-flows)

  Language:Jupyter Notebook23027

• rtqichen/residual-flows

  code for "Residual Flows for Invertible Generative Modeling".

  Language:Python26046

• rtqichen/ffjord

  code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

  Language:Python623138

• ermongroup/flow-gan

  Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.

  Language:Python10531

• bayesiains/nsf

  Code for Neural Spline Flows paper

  Language:Python25642

• aravindsrinivas/flowpp

  Code for reproducing Flow ++ experiments

  Language:Python18728

• kefirski/bdir_vae

  simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch

  Language:Python533

• fpcasale/GPPVAE

  Gaussian Process Prior Variational Autoencoder

  Language:Python7811

• astirn/MV-Kumaraswamy

  Language:Jupyter Notebook132

• emilemathieu/pvae

  code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".

  Language:Python12343

• mgermain/MADE

  MADE: Masked Autoencoder for Distribution Estimation

  Language:Python10020

• karpathy/pytorch-normalizing-flows

  Normalizing flows in PyTorch. Current intended use is education not production.

  Language:Jupyter Notebook83799

• google-research/google-research

  Google Research

  Language:Jupyter Notebook33.9k7.8k

• ermongroup/neuralsort

  Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.

  Language:Python13425

• ANLGBOY/MADE-with-PyTorch

  MADE:Masked-Autoencoder-for-Distribution-Estimation-using-PyTorch

  Language:Python153

• agadetsky/pytorch-pl-variance-reduction

  [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution

  Language:Jupyter Notebook362

• temken/comparxiv

  Compare two version of an arXiv preprint with a single command.

  Language:Python35125

• google-research/arxiv-latex-cleaner

  arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

  Language:Python5.2k327

• nicola-decao/power_spherical

  Pytorch implementation of the Power Spherical distribution

  Language:Jupyter Notebook7311

• yzhao062/LSCP

  Supplementary material for SDM 19 paper "LSCP: Locally Selective Combination in Parallel Outlier Ensembles"

  Language:Python2913

• tim-learn/SHOT

  code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

  Language:Python42978

• matplotlib/cheatsheets

  Official Matplotlib cheat sheets

  Language:Python7.3k882

• google-research/torchsde

  Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

  Language:Python1.6k194

• didriknielsen/survae_flows

  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"

  Language:Python28334