KonstantinKlepikov

amphtml

AMP HTML source code, samples, and documentation. See below for more info.

gcloud

Google Cloud tutorial and setup

gensim

Topic Modelling for Humans

sphinx

Main repository for the Sphinx documentation builder

faq

cs231n.github.io

Public facing notes page

blaze-tutorial

pydata-cookbook

PyData Cookbook Project

scipy-cookbook

Scipy Cookbook

decorator

decorator

awesome-jekyll-plugins

A collection of awesome Jekyll plugins (gems, scripts, pasties, etc.)

theMLbook

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

KonstantinKlepikov.github.io

my deep learning

deeplearning.ai-Convolutional-Neural-Networks

Completed assignment jupyter notebook of Foundations of Convolutional Neural Networks, deeplearning.ai coursera course

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

blaze

NumPy and Pandas interface to Big Data

dask

Parallel computing with task scheduling

3Dreconstruction

3D reconstruction, sfm with Python3

introducing-python

An introduction to Python

leabra7

A Python package for simulating recurrent, biologically-realistic neural networks

mlcourse.ai

Open Machine Learning Course

DeepNLP-Course

Deep NLP Course

ooplearning

Гайд по ооп на python

scapy

Scapy: the Python-based interactive packet manipulation program & library. Supports Python 2 & Python 3.

amp-by-example

A hands-on introduction to Accelerated Mobile Pages (AMP) focusing on code and live samples.

cs231n

:mortar_board: CS231n: Convolutional Neural Networks for Visual Recognition

intro_tf

Ноутбук про TF

3-Sweep-Library

streisand

Streisand sets up a new server running your choice of WireGuard, OpenConnect, OpenSSH, OpenVPN, Shadowsocks, sslh, Stunnel, or a Tor bridge. It also generates custom instructions for all of these services. At the end of the run you are given an HTML file with instructions that can be shared with friends, family members, and fellow activists.

decaNLP

The Natural Language Decathlon: A Multitask Challenge for NLP