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A curated list of awesome anomaly detection resources
Deep Reinforcement Learning course
A TensorFlow implementation of Baidu's DeepSpeech architecture
utils to help with training mozilla's ASR
Sublime plugin to detect invalid devanagari word constructs
Deep face recognition with Keras, Dlib and OpenCV
PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control
A Jekyll version of the "Prologue" theme by HTML5 UP
An unofficial *re*implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.
Default channel file for Package Control. Follow the directions at:
code for real time object detection using TensorFlow and openCV
Deep neural networks for getting text-independent speaker embedding written in TensorFlow
1st place solution to CGIAR Wheat Growth Stage Challenge
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.