Stars
Official repository for the paper F, B, Alpha Matting
Code for the book "Mastering OpenCV with Practical Computer Vision Projects" by Packt Publishing 2012.
Learn OpenCV : C++ and Python Examples
A PyTorch implementation of EfficientNet
Generating RGB photos from RAW image files with PyNET (PyTorch)
Res2Net for Salient Object Detection using PoolNet
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
jygan / AttentionGAN
Forked from Ha0Tang/AttentionGANAttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation
Learning Convolutional Neural Networks with Interactive Visualization.
yuanming-hu / taichi
Forked from taichi-dev/taichiMy fork of https://github.com/taichi-dev/taichi
Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
Discovering Interpretable GAN Controls [NeurIPS 2020]
Open standard for machine learning interoperability
Pytorch implementation for few-shot photorealistic video-to-video translation.
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
ESIM for Multi-turn Response Selection Task
jygan / DeepUPE
Forked from JIA-Lab-research/DeepUPEUnderexposed Photo Enhancement Using Deep Illumination Estimation
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
🤯Competitive Programming Source Code (OnlineJudge, ICPC, CCPC, Codeforces, Topcoder, Google Code Jam...
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.
end to end learning for self-driving
My work-through of the Jupyter notebook for the Udacity Self-Driving Car Nanodegree program Project 2 - Traffic Sign Classifier
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
dataset and code for 2016 paper "Learning a Driving Simulator"