ssgalitsky Goto Github PK

graph-and-social-network-analytics

social network analytics

graphics-resources

:memo: a list of graphic programming resources

grokking-deep-learning

this repository accompanies my forthcoming book "Grokking Deep Learning"

gruv

GRUV is a Python project for algorithmic music generation.

guitar-effects

Guitar Effects project for Music & Engineering, Fall 2012 at Cooper Union

hamr2015-deepdreameffect

Use pre-trained deepdream on audio spectrograms.

hand-graph-cnn

3D Hand Shape and Pose Estimation from a Single RGB Image

hands-on-python-for-finance-v

Hands-on Python for Finance [Video], Published by Packt

handtrack.js

A library for prototyping realtime hand detection (bounding box), directly in the browser.

handtracking

Finger Tip detection in video using Tensorflow

harmonic_recomposition_workshop

harmonyopt

Solving unsupervised harmony classification as an optimization problem

hdrnet

An implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement', SIGGRAPH 2017

hed

code for Holistically-Nested Edge Detection

high-res-neural-inpainting

High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis

hough_transform

Hough Transform implementation in Python

how-to-predict-bitcoin-prices-using-lstms-in-keras

human-activity-recognition-using-recurrent-neural-nets-rnn-lstm-and-tensorflow-on-smartphones

This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model to predict basic human activities using a smartphone accelerometer, Using Tensorflow framework, recurrent neural nets and multiple stacks of Long-short-term memory units(LSTM) for building a deep network. After the model was trained, it was saved and exported to an android application and the predictions were made using the model and the interface to speak out the results using text-to-speech API.

hype_processing

HYPE for Processing

hyperband

Tuning hyperparams fast with Hyperband

icassp2017

Designing efficient architectures for modeling temporal features with convolutional neural networks

imagehub

Receive and save images from multiple Raspberry Pi's

imagenode

Capture and Selectively Send Images and Sensor Data; detect Motion; detect Light

imagezmq

A set of Python classes that transport OpenCV images from one computer to another using PyZMQ messaging.

implementing_dl_research_papers_in_pytorch

Covers PyTorch code for getting started with Deep Learning as well as latest trends like Deep Dream, etc...

improved-gan

Chainer implementation of GAN / Deep Convolutional GAN (DCGAN) based on "Improved Techniques for Training GANs"

imutils

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

instabrade

Selenium based Instagram scraper

instrument-recognition

interactivecoding

Sketches for interactive coding group.