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pytorch-fbs icon pytorch-fbs

pytorch implementation of "Dynamic Channel Pruning: Feature Boosting and Suppression"

pytorch-lightning icon pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

qarc icon qarc

The implementation of "QARC: Video Quality Aware Rate Control for Real-Time Video Streaming based on Deep Reinforcement Learning"

rcf icon rcf

Richer Convolutional Features for Edge Detection

recognizers-text icon recognizers-text

Microsoft.Recognizers.Text provides robust recognition and resolution of numbers, units, and date/time expressed in multiple languages. Support for English, Spanish, and Chinese (full); and French and Portuguese (partial). Contributions are greatly welcome. Packages are available in nuget.org at: https://nuget.org/profiles/BotFramework

robustness icon robustness

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

sinkhornautodiff icon sinkhornautodiff

Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm

sknet icon sknet

Code for our CVPR 2019 paper: Selective Kernel Networks; See zhihu:https://zhuanlan.zhihu.com/p/59690223

smplify-x icon smplify-x

Expressive Body Capture: 3D Hands, Face, and Body from a Single Image

smplpix icon smplpix

SMPLpix: Neural Avatars from 3D Human Models

state-of-the-art-result-for-machine-learning-problems icon state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

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