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Malek's Projects

chapter-mapper icon chapter-mapper

Convert a PDF of scientific work into an interactive, graphical map.

dawdreamer icon dawdreamer

Digital Audio Workstation with Python; VST instruments/effects, parameter automation, FAUST, JAX, Warp Markers, and JUCE processors

ddsp icon ddsp

DDSP: Differentiable Digital Signal Processing

directory-to-latex-report icon directory-to-latex-report

A repository for converting a directory organized in a special way directly into nicely formatted LaTeX report documents.

ez-cli-convert icon ez-cli-convert

An open-source repository based in Python for easily converting files from one form to another using the command-line interface (CLI).

ez-video-convert icon ez-video-convert

A repo for easily converting videos from one form to another using a command line interface (CLI).

gass icon gass

This repository holds all codes related to applying genetic algorithms for sound synthesis (gass).

geneticalgorithmpython icon geneticalgorithmpython

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

git-gpt icon git-gpt

Ask questions against any git repository, and get a response from OpenAI GPT-3 model.

google-scholar-scraper icon google-scholar-scraper

This repository hosts codes related to scraping Google Scholar for various informative or interesting data.

helm icon helm

Helm - a free polyphonic synth with lots of modulation

hollow-afm-deconvolution icon hollow-afm-deconvolution

A repo for the class project of 2.C67 - Computational Imaging in Fall 2023 at MIT. The codes here perform various functions related to modeling the AFM convolution process and deconvolving simulated and real images.

malek-thinkdsp icon malek-thinkdsp

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

mitsubjectscraper icon mitsubjectscraper

A repo for scraping stats for a given subject/course combo at Massachusetts Institute of Technology (MIT).

mmdnn icon mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

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