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Name: PL
Type: User
Name: PL
Type: User
Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network' paper https://arxiv.org/abs/1807.04067
POT : Python Optimal Transport
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
PRML algorithms implemented in Python
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Official PyTorch implementation of the paper "In-Context Learning Unlocked for Diffusion Models"
Code for the NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
Repository of paper https://arxiv.org/abs/1612.01105
Code for "Learning Feature Pyramids for Human Pose Estimation" (ICCV 2017)
A library for encrypted, privacy preserving machine learning
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]
Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.
PyTorch implementation of AutoAugment.
Fine-tune pretrained Convolutional Neural Networks with PyTorch
Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
DeepLab-ResNet rebuilt in Pytorch
DeepLab resnet v2 model in pytorch
Simple examples to introduce PyTorch
pytorch implementation of "Dynamic Channel Pruning: Feature Boosting and Suppression"
PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
Pytorch implementation of Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation (ECCV'18)
Neural Style and MSG-Net
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.