ferhatmcelik Goto Github PK

amazon-reviews

Aspect Based Sentiment Analysis of Amazon Product Reviews

amazon-reviews-nlp

Classifying Amazon reviews based on customer ratings using Natural Language Processing

amazon_webscraping

autorccar

OpenCV Python Neural Network Autonomous RC Car

biaxial-rnn-music-composition

A recurrent neural network designed to generate classical music.

classical-piano-composer

computer_vision

computervision

Implementations of algorithms and operations used in Computer Vision: solely for Neural style transfer.

cozmo-explorer-tool

Tool for monitoring events, watching the camera feed and test animations of Anki's robot Cozmo

cozmo-python-sdk

Anki Cozmo Python SDK

data

Data and code behind the articles and graphics at FiveThirtyEight

datacamp

DataCamp data-science courses

deep_dream

DeepDream psychodelic image generator.

deeppicar

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

deeppicar-v2

End-to-end deep learning based autonomous RC car using Raspberry Pi 3.

deployment-deep-learning-model

djitellopy

DJI Tello drone python interface using the official Tello SDK. Feel free to contribute!

docs

TensorFlow documentation

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

face_recognition

The world's simplest facial recognition api for Python and the command line

fall-detection

Computer Vision Fall Detection System using OpenCV

falldetector-public

Fall detector with an overhead camera

glove-python

Toy Python implementation of http://www-nlp.stanford.edu/projects/glove/

hc18-automated-measurement-of-fetal-head-circumference

HC18—Automated measurement of fetal head circumference

keras

Deep Learning for humans

learning-about-apis

machine-learning-projects

Machine Learning Experiments and Work

machine-learning-with-python

Python codes for common Machine Learning Algorithms

machine_learning_examples

A collection of machine learning examples and tutorials.

materials

Bonus materials, exercises, and example projects for our Python tutorials