Awesome Incremental Learning

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

Pytorch implementation of GCN architecture for sematic segmentation

A CV Toolkit

Tensors and Dynamic neural networks in Python with strong GPU acceleration

PyTorch implementation of Temporal Ensembling for Semi-Supervised Learning

Multimodal Unsupervised Image-to-Image Translation

⏰ AI conference deadline countdowns

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

Models and examples built with TensorFlow

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

Good Semi-Supervised Learning That Requires a Bad GAN

DeepLabv3 built in TensorFlow

95.16% on CIFAR10 with PyTorch

PyTorch implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation.

Convolutional Neural Networks

MINOS: Multimodal Indoor Simulator

code for the paper "Improved Techniques for Training GANs"

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks.

collection of the NIPS 2017 papers

C++ based toolbox for the SUNCG dataset

Benchmarks for popular CNN models