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Murugesh Marvel's Projects

adversarial icon adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

ai-on.org icon ai-on.org

AI•ON projects repository and website source.

apollo-11 icon apollo-11

Original Apollo 11 guidance computer (AGC) source code digitized by folks at Virtual AGC (http://www.ibiblio.org/apollo/) and MIT Museum.

artos icon artos

Adaptive Real-Time Object Detection System with HOG and CNN Features

augmentor icon augmentor

Image augmentation library in Python for machine learning.

automatic_speech_recognition icon automatic_speech_recognition

End-to-end automatic speech recognition from scratch in Tensorflow(从头实现一个端对端的自动语音识别系统).

awesome-ruby icon awesome-ruby

:gem: A collection of awesome Ruby libraries, tools, frameworks and software

bm_docs icon bm_docs

Codes for Collaborative document with latex support

books icon books

Best selection of my books, common to all.

cleverhans icon cleverhans

A library for benchmarking vulnerability to adversarial examples

convai icon convai

resources and documentation on convai challenge

csvkit icon csvkit

A suite of utilities for converting to and working with CSV, the king of tabular file formats.

darkflow icon darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

detectron.pytorch icon detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

digimath-mcs icon digimath-mcs

Breakdown the mathematics for computer science and implementation

django_face_recognition icon django_face_recognition

This is a proof of concept application that allows the Django platform to leverage opencv libraries via python to a web interface. Simple Haar classifiers xml from openCV samples were obtained and face / eyes / edge detection algorithms were triggered to be processed on the "Cloud"! Its not very efficient though.. sending pictures over the internet is a lot of processing in itself.. this was just for fun. and i had to use bash scripts to get some stuff done, so this code only works on a linux LAMP stack.

dl4h icon dl4h

Deep learning for hackers: a hands-on approach to machine learning and deep learning.

draw icon draw

Reimplementation of DRAW

facets icon facets

Visualizations for machine learning datasets

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