A professional front-end template for building fast, robust, and adaptable web apps or sites.
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Updated
Jul 6, 2022 - JavaScript
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A professional front-end template for building fast, robust, and adaptable web apps or sites.
Nginx HTTP server boilerplate configs
Apache HTTP server boilerplate configs
微信tinker补丁管理,后端代码+客户端sdk
在用户规模千万级别的app中验证过,稳定无兼容问题,5分钟让你的SDK拥有热修复能力。A SDK hotfix library with stable verified in tens of millions of users can be accessed in only five minutes.
Object detection on multiple datasets with an automatically learned unified label space.
The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf
Tidy Dataframes and Expressions with Statistical Details
A certifiable defense against adversarial examples by training neural networks to be provably robust
A jQuery Plugin to make your App Robust
Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.
Robust model predictive control using tube
Thread-safe cross-platform event loop library in C++
Implement Message.InspectMsg and suitable overrides. This function should be invoked when a message is sent, but only when a debug flag is enabled in a lab load. Its purpose is to verify that the message
Official repository of STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech, INTERSPEECH 2021
Robust GNSS Processing With Factor Graphs
Python Library for Robust Decision Making and Exploratory Modelling
Robust Kalman filter with adaptive noise statistics estimation.
An implementation of Mozilla's Public Suffix List in Rust
ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
High performance utility library for C
Python package to transfer data in a fast, reliable, and packetized form
[Neurocomputing 2019] Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion
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Ideally should break down MB in