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Powerful, proven, and extensible framework for building trading strategies at any frequency, with a focus on crypto currencies. Battle-tested with billions traded.
Bookmark directories inside your shell.
Homer, a text analyser in Python, can help make your text more clear, simple and useful for your readers.
Visual scripting framework for python.
A racing game that runs in Terminal.
A Machine Learning System for Data Enrichment.
PyChess is a gtk chess client, originally developed for GNOME, but running well under all other linux desktops. (Which we know of, at least). PyChess is 100% python code, from the top of the UI to the bottom of the chess engine.
TOM (TOpic Modeling) is a Python 3 library for topic modeling and browsing, licensed under the MIT license.
Its objective is to allow for an efficient analysis of a text corpus from start to finish, via the discovery of latent topics. To this end, TOM features functions for preparing and vectorizing a text corpus. It also offers a common interface for two topic models (namely LDA using either variational inference or Gibbs sampling, and NMF using alternating least-square with a projected gradient method), and implements three state-of-the-art methods for estimating the optimal number of topics to model a corpus. What is more, TOM constructs an interactive Web-based browser that makes it easy to explore a topic model and the related corpus.
pyLDAvis
is a python library for interactive topic model visualization. It is a port of the fabulous R package by Carson Sievert and Kenny Shirley. They did the hard work of crafting an effective visualization. pyLDAvis
makes it easy to use the visualiziation from Python and, in particular, Jupyter notebooks.
To learn more about the method behind the visualization, it is possible to read the original paper explaining it.
This notebook provides a quick overview of how to use pyLDAvis
.
usbrip
(inherited from "USB Ripper", not "USB R.I.P.") is an open source forensics tool with CLI interface that lets you keep track of USB device artifacts (i.e., USB event history) on Linux machines.
usbrip
is a small piece of software written in pure Python 3 (using some external modules, see Dependencies/pip) which analyzes Linux log data (journalctl output or /var/log/syslog*
and /var/log/messages*
files, depending on the distro) for constructing USB event history tables. Such tables may contain the following columns: "Connected" (date & time), "Host", "VID" (vendor ID), "PID" (product ID), "Product", "Manufacturer", "Serial Number", "Port" and "Disconnected" (date & time).
Deep Semantic Code Search aims to explore a joint embedding space for code and description vectors and then use it for a code search application.
SMACH is a task-level architecture for rapidly creating complex robot behavior. At its core, SMACH is a ROS-independent Python library to build hierarchical state machines. SMACH is a new library that takes advantage of very old concepts in order to quickly create robust robot behavior with maintainable and modular code.
Karpet is a tiny library with just a few dependencies for fetching coins/tokens metrics data the internet.
It can provide following data:
- coin/token historical price data (no limits)
- google trends for the given list of keywords (longer period than official API)
- twitter scraping for the given keywords (no limits)
- much more info about crypto coins/tokens (no rate limits)
A toy project started to see how well a simple LSTM model can autocomplete python code.
It gives quite decent results by saving above 30% key strokes in most files, and close to 50% in some. We calculated key strokes saved by making a single (best) prediction and selecting it with a single key.
We do a beam search to find predictions, upto ~10 characters ahead. So far it's too inefficient, if you are wondering about editor integration.
Your new best friend built with an artificial neural network - olivia-ai/olivia
Vorta is a backup client for macOS and Linux desktops. It integrates the mighty BorgBackup with your desktop environment to protect your data from disk failure, ransomware and theft.
The set of all points closest to a given point in a point set than to all other points in the set is an interesting spatial structure called a Voronoi Polygon for the point. The union of all the Voronoi polygons for a point set is called Voronoi Tessellation.
Many applications have been found based on the neighbourhood information provided by this tessellation. The dual of Voronoi tessellation is Delaunay Tessellation, also referred to as Delaunay Triangulation or Triangulated Irregular Network (TIN), which are lines drawn between points where their Voronoi polygons have an edge in common.
Delaunay tessellation is the most fundamental neighbourhood structure because many other important neighbourhood structures, such as, Gabriel Graph, Relative Neighbourhood Graph and Minimal Spanning Tree, can be derived from it.
SCons is an Open Source software construction tool - that is, a next-generation build tool. Think of SCons as an improved, cross-platform substitute for the classic Make utility with integrated functionality similar to autoconf/automake and compiler caches such as ccache. In short, SCons is an easier, more reliable and faster way to build software.
Notational velocity for vim. . Contribute to alok/notational-fzf-vim development by creating an account on GitHub.