Fayaz R's repositories

bqplot

Plotting library for IPython/Jupyter Notebooks

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cocktail-party-deep-learning

Cocktail party problem solution using deep learning

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Cocktail-Party-Problem

Solving the Cocktail Party Problem using ICA

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COVID-19-SINDY

Use SINDY algorithm to discover a dynamical system from coronavirus data

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data-challengex

Data challenge

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Deep-Learning-with-TensorFlow

Deep Learning with TensorFlow by Packt

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discover-iot-sample

Sample application from Discover IoT

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dl-docker

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

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Donations-challengex

Data challenge

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jetson-inference

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and Jetson TX1/TX2.

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keras-tensorflow-windows-installation

10 easy steps to install Tensorflow-GPU and Keras in Windows

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lensfunpy

đź“· Lens distortion correction for Python, a wrapper for lensfun

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log-progress

Widget based progress bar for Jupyter

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matplotlib-tutorial

Matplotlib tutorial for beginner

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numba-examples

Example Numba implementations of functions

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PuttingABugInML

Code for the paper "Putting a bug in ML: The moth olfactory network learns to read MNIST", by CB Delahunt and JN Kutz

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Python-Lectures

IPython Notebooks to learn Python

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python-opengl

An open access book on Python, OpenGL and Scientific Visualization, Nicolas P. Rougier, 2018

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pythreejs

A Jupyter - Three.js bridge

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quantstack-talks

Slides for quantstack talks

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sidl

Deep Learning code

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sierra_mfc_controller

Python Controller for Sierra Instruments Mass Flow Controller

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siml

Machine Learning algorithms implemented from scratch

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SmartAsABug

Code used in the paper "Biological Mechanisms for Learning: A Computational Model of Olfactory Learning in the Manduca sexta Moth, with Applications to Neural Nets", by CB Delahunt, JA Riffell, and JN Kutz, January 2018.

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Steady-State-Flow-With-Neural-Nets

A Tensorflow re-implementation of the paper Convolutional Neural Networks for Steady Flow Approximation

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t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

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TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10

How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows

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