takahashihiroshi's Stars
cl-tohoku/bert-japanese
BERT models for Japanese text.
clementchadebec/benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
phizaz/diffae
Official implementation of Diffusion Autoencoders
rpatrik96/ima-vae
This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivalent to optimizing the IMA-regularized log-likelihood under certain assumptions (e.g., small decoder variance).
pfnet-research/chainer-ADDA
Adversarial Discriminative Domain Adaptation in Chainer
hendrycks/anomaly-seg
The Combined Anomalous Object Segmentation (CAOS) Benchmark
BandaiNamcoResearchInc/Bandai-Namco-Research-Motiondataset
This repository provides motion datasets collected by Bandai Namco Research Inc
pokaxpoka/deep_Mahalanobis_detector
Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".
microsoft/unadversarial
Official repository for our NeurIPS 2021 paper "Unadversarial Examples: Designing Objects for Robust Vision"
inspire-group/SSD
SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]
NVlabs/LSGM
The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)
NVlabs/LACE
A new play-and-plug method of controlling an existing generative model with conditioning attributes and their compositions.
dandavison/delta
A syntax-highlighting pager for git, diff, grep, and blame output
sharkdp/bat
A cat(1) clone with wings.
abdulfatir/langevin-monte-carlo
A simple pytorch implementation of Langevin Monte Carlo algorithms.
google/budoux
EmilienDupont/wgan-gp
Pytorch implementation of Wasserstein GANs with Gradient Penalty
POSTECH-CVLab/PyTorch-StudioGAN
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
NVlabs/VAEBM
The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight paper)
google-deepmind/neural_testbed
Yale-LILY/SummerTime
An open-source text summarization toolkit for non-experts. EMNLP'2021 Demo
rxhanson/Rectangle
Move and resize windows on macOS with keyboard shortcuts and snap areas
ermongroup/SDEdit
PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations
mlresearch/v139
Proceedings of ICML 2021
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
swyoon/normalized-autoencoders
The official repository for <Autoencoding Under Normalization Constraints> (Yoon, Noh and Park, ICML 2021).
ermongroup/ncsn
Noise Conditional Score Networks (NeurIPS 2019, Oral)
yang-song/score_sde_pytorch
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
hendrycks/outlier-exposure
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
xiehousen/OCGAN-Pytorch
UnOfficial PyTorch Implementation of OCGAN!