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onnx2keras

Convert ONNX model graph to Keras model format.

outlier-reconstruction

Web demo for outlier reconstruction phenomenon of autoencoders

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pis

[ICLR 2022] Path integral sampler

pixel-cnn-pp

Pytorch Implementation of OpenAI's PixelCNN++

pod_compare

Code for our paper titled: "A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving"

projected_gan

[NeurIPS'21] Projected GANs Converge Faster

projsplx

A pure Numpy implementation of the simplex projection algorithm presented in (Chen and Ye, 2011)

provable-ood-detection

Guarantees on the behavior of neural networks don't always have to come at the cost of performance.

pyod

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

python-syntax

Python syntax highlighting script for Vim

pytorch-boilerplate

The OTHER pytorch boilerplate

pytorch-energy-based-model

Simple illustrative examples for energy-based models in PyTorch

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-glow

Pytorch Implementation of OpenAI's GLOW

pytorch-glow-that-works

pytorch-made

MADE (Masked Autoencoder Density Estimation) implementation in PyTorch

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

pytorch-minimal-gaussian-process

A minimal implementation of Gaussian process regression in PyTorch

pytorch-studiogan

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

pytorch-vqvae

Vector Quantized VAEs - PyTorch Implementation

pytorch2keras

PyTorch to Keras model convertor

recovery_likelihood

sd-discrimination

Framework for Subgroup Discovery and Discriminaton Detection in datasets.

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

semi-supervised-pytorch

Implementations of various VAE-based semi-supervised and generative models in PyTorch

sft-pg

Code for "Optimizing DDPM Sampling with Shortcut Fine-Tuning" (https://arxiv.org/abs/2301.13362), ICML 2023

shopping-classification

쇼핑몰 상품 카테고리 분류 대회의 baseline

snucse_phd_thesis_template

The Dissertation Template for SNU CSE PhD Candidates Towards Their Graduation

steingrad

Code release for the ICLR paper