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Name: PL
Type: User
Name: PL
Type: User
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
PyTorch reimplementation of Interactive Deep Colorization
Code and checkpoints of compressed networks for the paper titled "On Pruning Adversarially Robust Neural Networks" (https://arxiv.org/abs/2002.10509).
Computer Systems: A Programmer's Perspective
[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
The Contextual Loss
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Code repository for Convolutional Pose Machines
Reimplemented code for "Toward Characteristic-Preserving Image-based Virtual Try-On Network"
Cascade pose regression
A language-agnostic interface to TensorBoard
This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/
Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)
Code for "Quantized Densely Connected U-Nets for Efficient Landmark Localization" (ECCV 2018) and "CU-Net: Coupled U-Nets" (BMVC 2018 oral)
Automatically exported from code.google.com/p/cuda-convnet2
Full version (training+testing) of implementation of Shizhan Zhu et al.'s CVPR-15 work Face Alignment by Coarse-to-Fine Shape Searching
Attention-Guided Hierarchical Structure Aggregation for Image Matting(CVPR2020)
A pytorch implementation of the CVPR2021 paper "VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild"
Code to accompany ICML 2018 paper
This repository contains the code for the paper: Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders (https://arxiv.org/abs/1804.10469), which was accepted at ECCV 2018.
Unsupervised Domain Adaptation Papers and Code
repository for Universal Domain Adaptation through Self-supervision
DarkForest, the Facebook Go engine.
Differentiable architecture search for convolutional and recurrent networks
Code for Data Poisoning Attacks Against Federated Learning Systems
Dataset Distillation
A torch implementation of http://arxiv.org/abs/1511.06434
Deep Convolutional Generative Adversarial Networks
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.