sud0301 Goto Github PK

8gpu_test

cityscapes_training

adversarial_autoencoders

advsemiseg

Pytorch implementation of the paper "Adversarial Learning for Semi-supervised Semantic Segmentation," Wei-Chih Hung, Yi-Hsuan Tsai, Yan-Ting Liou, Yen-Yu Lin, and Ming-Hsuan Yang

ai-deadlines

:alarm_clock: AI conference deadline countdowns

awesome-incremental-learning

Awesome Incremental Learning

best_practices_alss

This is the official repository for the paper - Best Practices in Active Learning for Semantic Segmentation

chickpea_pcl_codes

cnn-benchmarks

Benchmarks for popular CNN models

comp_statistics

comp_stats_pro_1

contrastive_unsup_learning

Contrastive Unsupervised Learning

darknet

Convolutional Neural Networks

essentials_for_cil

Official repository of the paper 'Essentials for Class Incremental Learning'

fadecandy

Easy to use open source hardware to drive WS2811 LEDs with high-quality color

global_convolutional_network

Pytorch implementation of GCN architecture for sematic segmentation

image_classification

Image classification network in tensorflow

improved-gan

code for the paper "Improved Techniques for Training GANs"

mean-teacher

A state-of-the-art semi-supervised method for image recognition

minos

MINOS: Multimodal Indoor Simulator

models

Models and examples built with TensorFlow

munit

Multimodal Unsupervised Image-to-Image Translation

my_siamese

my_uda_pytorch

nips_2017

collection of the NIPS 2017 papers

open_vocab_seg

Open vocabulary segmentation

pcl

Point Cloud Library (PCL)

peptidr

A signal peptide classifier

perception_pcl

pix2pix

Image-to-image translation with conditional adversarial nets

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation