Practical_RL - A course in reinforcement learning in the wild

•    Jupyter

A course on reinforcement learning in the wild. Taught on-campus at HSE and YSDA and maintained to be friendly to online students (both english and russian). The syllabus is approximate: the lectures may occur in a slightly different order and some topics may end up taking two weeks.

stanford-tensorflow-tutorials - This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research

•    Python

This repository contains code examples for the course CS 20: TensorFlow for Deep Learning Research. It will be updated as the class progresses. Detailed syllabus and lecture notes can be found here. For this course, I use python3.6 and TensorFlow 1.4.1. For setup instruction and the list of dependencies, please see the setup folder of this repository.

py4e - Web site for www.py4e.com and source to the Python 3.0 textbook

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For the work in progress. See the file book/README.md for more details.

Practical_DL - DL course co-developed by YSDA, Skoltech and HSE

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This repo supplements Deep Learning course taught at YSDA and Skoltech @spring'18. For previous iteration visit the fall17 branch. Lecture and seminar materials for each week are in ./week* folders. Homeworks are in ./homework* folders.

awesome-startup - :sunglasses: All the required resources to build your own startup

A curated list of awesome books, videos, courses and resources about making a startup.

LearnAnalytics-mr4ds - R and Microsoft R Workflows for Data Science

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Welcome to the Microsoft R for Data Science Course Repository. You can find the latest materials from the workshop here, and links for course materials from prior iterations of the course ca be found in the version pane. While this course is intended for data scientists and analysts interested in the Microsoft R programming stack (i.e., Microsoft employees in the Algorithms and Data Science group), other programmers might find the material useful as well.Please refer to the course syllabus for the full syllabus. The goal of this course is to cover the following modules, although some of the latter modules may be repalced for a hackathon/office hours.

maps-with-markdown - Small repo for a mapping exercise in Digital History.

•    Javascript

Today in class we discussed spatial history, that is, history which focusses very strongly on the cultural history of space and place. There is nothing intrinsically digital about spatial history, nor is it necessarily qunatitative in nature; but the incredible development of Geographical Information Systems (GIS) in the last 15 years has made the use of interactive digital maps an attractive target for historians. Sophisticated works such as the Spatial History Project and Ben Schmidt's Whaling Maps Project take substantial technical effort to achieve their effects; in general, lengthy training in the use of specialized GIS software is required. We have our own example in the DECIMA Project run by Prof. Terpstra in our department.

wa4e - Course materials for www.wa4e.com

•    PHP

Here are the steps to set this up on localhost on a Macintosh using MAMP.

ScriptingLanguagesCourseMaterials - Python and Lua tutorials

•    Jupyter

This repository contains slides, tutorials and exercises for two university lectures taught in the Pázmány Péter Catholic University of Budapest. This work is licensed under a Creative Commons Attribution 4.0 International License.

SimulationTutorials - Public tutorials around electrophysiological simulations

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On November 10th 2017, we present a breakout session "Data-Driven Neurophysiology and Neuronal Modelling". It is part of the Society for Neuroscience (SfN) Annual Meeting Preconference Sessions, SHORT COURSE 2: Neuroinformatics in the Age of Big Data: Working With the Right Data and Tools. The content of this tutorial is located here.

com.341 - Operating Systems (COM 341)

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Operating Systems (COM 341)

mlcourse - Machine learning course materials.

•    Jupyter

Machine Learning Course Materials by Various Authors is licensed under a Creative Commons Attribution 4.0 International License. The author of each document in this repository is considered the license holder for that document.

Learn-Something-Every-Day - 📝 A compilation of everything that I learn; Computer Science, Software Development, Engineering, Math, and Coding in General

•    CSS

I take a lot of summary notes here, but I will often also put my learnings into an anki deck which is a wonderful way to do spaced repetition learning for long term retention. Taking summary notes in combination with some form of active recollection has worked really well for me and would be my recommendation to anyone looking to always be learning in this fast changing industry. Write notes in Markdown with embedded LaTeX. When you push to develop, get CircleCI to render HTML pages using a small Ruby script and Pandoc, and then push the results to a Github Pages branch. The website build process is based on work by @davepagurek.

designcourse - Course materials for "Research Design in Political Science"

•    TeX

Some course materials for the Research Design in Political Science lecture series in Government at the London School of Economics and Political Science. Read more about why this course is on GitHub here.

Hands-on-Vuex-for-Vue

•    Javascript

This is the code repository for Hands-On Vuex for Vue.js Applications [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish. Next, cd to the folder that you want to view, and run npm install to install its dependencies. Then, you can run npm run serve or npm start (for some later sections) to start the development server.

Curso-JS-para-desarrolladores-web_ed8 - FICTIZIA » Curso de JavaScript para desarrolladores web — 8ª Edición

•    Javascript

El Curso de JavaScript para desarrolladores web está pensado para que sus alumnos descubran el desarrollo con JavaScript nativo y adquieran las capacidades necesarias para crear profesionalmente sitios web dinámicos a medida de las necesidades de cada proyecto. El objetivo principal de este curso de JS es que los alumnos aprendan la bases y fundamentos del lenguaje de programación más utilizado en el mundo del desarrollo interactivo. Aprenderán todo sobre los conceptos fundamentales y la lógica de la programación, la manipulación dinámica del DOM y el desarrollo de aplicaciones interactivas usando AJAX.

learn-vuex - 🗂Source code for the Vuex for Everyone course

•    Javascript

This repository contains the example code for the Vuex for Everyone course. In this course you'll learn all there is to know about Vuex by creating a shopping cart from scratch.

vuejs-firebase-realtime-database - 🔥Source code for the Vue.js + Firebase Realtime Database course

•    HTML

This repository contains the example code for the Vue.js + Firebase Realtime Database course. This course will teach you how to use Firebase Realtime Database in your vue.js applications. The example app is a realtime chat room, and our goal is to make sure all online users get updates in realtime whenever a message is added, edited or deleted.

MLiFC - Course Material for the machine learning in financial context bootcamp

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Hi! You found the MLiFC GitHub repository. What is MLiFC you ask? MLiFC is short for machine learning in financial context, a new textbook that aims to teach business, economics and social science students practical machine learning and its applications in business and finance. It is written for the MLiFC bootcamp, taught at turing society rotterdam, also known as 'Bletchley'. The content here is mostly developed by Jannes Klaas with the support of a community of technical and non-technical people. You are welcome to join us.

reinforcement_learning_course_materials - Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

•    Jupyter

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University. Source code for the entire course material is open and everyone is cordially invited to use it for self-learning (students) or to set up your own course (lecturers). We highly appreciate any feedback and input to the course material e.g.