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Name: aMgLn
Type: User
Location: Mongolia
Name: aMgLn
Type: User
Location: Mongolia
:page_with_curl: A list of practical projects that anyone can solve in any programming language.
Android-based implementation of Eulerian Video Magnification for vital signs monitoring
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Portfolio and risk analytics in Python
Diving into PyImageSearch
simple kakaotalk loco/http protocol wrapper for python
Turn your Python application into an Android APK
Artificial neural network classes and tools in Python and TensorFlow.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Official QEMU mirror
yet another beatgame.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Quantitative research and educational materials
Implementation of the approach described in the paper "Recurrent Instance Segmentation" https://arxiv.org/abs/1511.08250.
Controlling up to three chains of 64x64, 32x32, 16x32 or similar RGB LED displays using Raspberry Pi GPIO
Scrapy, a fast high-level web crawling & scraping framework for Python.
google image crawler
Multifarious Scrapy examples. Spiders for alexa / amazon / douban / douyu / github / linkedin etc.
Some script for daily use in Linux
Simple and easy parser.
SmartMatrix Library for Teensy 3
Python implementation of SLAM algorithm Stereo-PTAM
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
A shell script for throttling system CPU frequency based on a desired maximum temperature
Computation using data flow graphs for scalable machine learning
TensorFlow Tutorial and Examples for Beginners with Latest APIs
Simple tutorials using Google's TensorFlow Framework
Tesseract Open Source OCR Engine (main repository)
A list of popular github projects related to deep learning
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.