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projects

:page_with_curl: A list of practical projects that anyone can solve in any programming language.

pulse

Android-based implementation of Eulerian Video Magnification for vital signs monitoring

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pyfolio

Portfolio and risk analytics in Python

pyimagesearch

Diving into PyImageSearch

pykakao

simple kakaotalk loco/http protocol wrapper for python

python-for-android

Turn your Python application into an Android APK

pythonml

Artificial neural network classes and tools in Python and TensorFlow.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

qemu

Official QEMU mirror

raindrop

yet another beatgame.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

research_public

Quantitative research and educational materials

ris

Implementation of the approach described in the paper "Recurrent Instance Segmentation" https://arxiv.org/abs/1511.08250.

rpi-rgb-led-matrix

Controlling up to three chains of 64x64, 32x32, 16x32 or similar RGB LED displays using Raspberry Pi GPIO

scrapy

Scrapy, a fast high-level web crawling & scraping framework for Python.

scrapy-1

google image crawler

scrapy-examples

Multifarious Scrapy examples. Spiders for alexa / amazon / douban / douyu / github / linkedin etc.

scripts-linux

Some script for daily use in Linux

self-driving-car

simple-parser

Simple and easy parser.

smartmatrix

SmartMatrix Library for Teensy 3

stereo_ptam

Python implementation of SLAM algorithm Stereo-PTAM

stockpredictionai

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.

temp-throttle

A shell script for throttling system CPU frequency based on a desired maximum temperature

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tensorflow-tutorials

Simple tutorials using Google's TensorFlow Framework

tesseract

Tesseract Open Source OCR Engine (main repository)

topdeeplearning

A list of popular github projects related to deep learning