Quantitative research and educational materials
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Updated
Nov 3, 2020 - Jupyter Notebook
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Quantitative research and educational materials
attestation-deplacement-derogatoire-q4-2020 public
Game Off is our annual month-long game jam where participants create games based on a theme using their favorite game engines, libraries, and programming languages. Newbies, professional game developers, and everyone in between are welcome to join. It’s a great excuse to learn a new technology, collaborate on something over the weekends with friends, or create a game by yourself for the first time!
You like pytorch? You like micrograd? You love tinygrad!
Stories for VSCode
December 09, 2020 • Virtual
Zipline, a Pythonic Algorithmic Trading Library
Control WS2812B and many more types of digital RGB LEDs with an ESP8266 or ESP32 over WiFi!
The text editor is a sacred tool for developers. Here's a showcase of some amazingly awesome open source editors.
Sider checks code using custom rules based on project specific knowledge and cumulative team experiences. On each pull request, Sider automatically alerts developers on previously documented issues and key information relevant to the changed code.
Flutter makes it easy and fast to build beautiful apps for mobile and beyond.
Un blog increíble para el curso de Git y Github de Platzi
Roadmap to becoming an Artificial Intelligence Expert in 2020
A Collection of application ideas which can be used to improve your coding skills.
pktvisor summarizes data streams in real time and provides a clean, time-windowed HTTP interface and command line UI to the results.
This repository contains the exercises and its solution contained in the book An Introduction to Statistical Learning in python.
Python Data Science Handbook: full text in Jupyter Notebooks
Godot Engine – Multi-platform 2D and 3D game engine
Exemplos de código da primeira semana Javascript Expert
Windows system utilities to maximize productivity
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
https://igel.readthedocs.io/en/latest/_sources/readme.rst.txt includes a link to the assets/igel-help.gif, but that path is broken on readthedocs.
readme.rst is included as ../readme.rst in the sphinx build.
The gifs are in asses/igel-help.gif
The sphinx build needs to point to the asset directory, absolutely:
.. image:: /assets/igel-help.gif
I haven't made a patch, because I haven't
This repository contains implementations and illustrative code to accompany DeepMind publications
All Algorithms implemented in Java
DeepSource helps you find and fix issues during code reviews.
Seamless integration with GitHub lets you start analyzing code in a couple of minutes. Follow our documentation and guides to get started — deepsource.io/docs/
Hi, I've found the following cheatsheet :
In the README you explain that there must be an edit button in the page and a github button to access the sheet but as you can see it doesn't appear here.
Thx ;)