Igor (sotsugov)

sotsugov

Geek Repo

Location:London, UK

Home Page:isv.omg.lol

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Igor's repositories

99problems

Python 99p

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ai-deadlines

AI conference deadline countdowns

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awesome-deep-learning-papers

The most cited deep learning papers

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awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

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awesome-python

A curated list of awesome Python frameworks, libraries and software

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Bayesian-Modelling-in-Python

A python tutorial on bayesian modeling techniques (PyMC3)

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Data-Analysis-and-Machine-Learning-Projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

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datasharing

The Leek group guide to data sharing

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dl-setup

Instructions for setting up the software on your deep learning machine

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elements-of-python-style

Goes beyond PEP8 to discuss what makes Python code feel great. A Strunk & White for Python.

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free-software-testing-books

List of free software testing books

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genomicspapers

The Leek group guide to genomics papers

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google-interview-university

A complete daily plan for studying to become a Google software engineer.

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HowToBeAProgrammer

A guide on how to be a Programmer - originally published by Robert L Read

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investing

Investing Returns on the Market as a Whole

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Kalman-and-Bayesian-Filters-in-Python

Kalman Filter textbook using Ipython Notebook. This book takes a minimally mathematical approach, focusing on building intuition and experience, not formal proofs. Includes Kalman filters, Extended Kalman filters, unscented filters, and more. Includes exercises with solutions.

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lectures

Oxford Deep NLP 2017 course

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Misc_ipynb

A collection of ipython notebooks I've made for various projects

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MLAlgorithms

Minimal and clean examples of machine learning algorithms

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nd101

:notebook: Deep Learning Nanodegree Foundation

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pennx-robotics

:notebook: PennX: ROBO1x Robotics: Fundamentals

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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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pythalesians

Python Open Source Financial Library to backtest trading strategies, plot charts, seamlessly download market data, analyse market patterns and much more!

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python-for-engineers

Exercises and code from the Python For Engineers book

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python-fundamentals

Materials for teaching the Python FUNdamentals workshop at UC Berkeley's D-lab

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PythonForDataScience

PythonForDataScience

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scientific_python_cheat_sheet

simple overview of python, numpy, scipy, matplotlib functions that are useful for scientific work

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scripts

Container for various scripts that might be useful later

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ud730

:notebook: Deep Learning

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