Bolt is a deep learning library with high performance and heterogeneous flexibility.

[ECCV'22 Oral] Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes

Code for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"

cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理

🖼The python implementation to make superpixels by slic.

Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing

I collected some papers about interpretable CNN and reorganized them here.

Code for TMI 2018 "Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation"

Classification with PyTorch.

Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018

pytorch tutorial for beginners

Code for the book Grokking Algorithms (http://manning.com/bhargava)

Models and examples built with TensorFlow

implementations of Recurrent Convolutional Neural Network for object recognition

Static blog, based on Hexo and Nuna theme.

Unsupervised Learning using Videos (ICCV 2015)