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polyakovyevgeniy's Projects

atap icon atap

Code for Applied Text Analysis with Python

cookiecutter-ml icon cookiecutter-ml

Minimalist project template for reproducible machine learning a la https://drivendata.github.io/cookiecutter-data-science/ and https://blog.mariokrapp.com/Cookiecutter_for_a_more_transparent_and_reproducible_science.html

cs231n-2017 icon cs231n-2017

CS231n: "Convolutional Neural Networks for Visual Recognition"

dsp-theory icon dsp-theory

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

fastai icon fastai

The fast.ai deep learning library, lessons, and tutorials

fma icon fma

FMA: A Dataset For Music Analysis

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hse-shad-ml icon hse-shad-ml

:mortar_board: Введение в машинное обучение. Курс от ВШЭ и ШАД на coursera.org

jupyter icon jupyter

Jupyter metapackage for installation, docs and chat

keras-vis icon keras-vis

Neural network visualization toolkit for keras

keras-yolo2 icon keras-yolo2

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

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