Dic Libraries

117 Components & Libraries

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Dic Libraries

Exploitation Framework for Embedded Devices

The RouterSploit Framework is an open-source exploitation framework dedicated to embedded devices. It consists of various modules that aid penetration testing operations: Required: Optional: Bluetoot…

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

Lean Engine is an open-source algorithmic trading engine built for easy strategy research, backtesting, and live trading. We integrate with common data providers and brokerages so you can quickly dep…

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

An open-source python library built to empower developers to build applications and systems with self-contained Deep Learning and Computer Vision capabilities using simple and few lines of code. We t…

StellarGraph - Machine Learning on Graphs

Graph-structured data represent entities as nodes (or vertices) and relationships between them as edges (or links), and can include data associated with either as attributes. For example, a graph can…

A tool for converting dictionary files aka glossaries. Mainly to help use our offline glossaries in any Open Source dictionary we like on any modern operating system / device.

A tool for converting dictionary files aka glossaries. The primary purpose is to be able to use our offline glossaries in any Open Source dictionary we like on any OS/device. There are countless form…

Medical imaging toolkit for deep learning

If you like this repository, please click on Star! If you use this package for your research, please cite our paper: BibTeX entry: This project is supported by the following institutions:

Awesome Django authorization, without the database

Using pip: Manually: Run tests with: Add the authentication backend: Predicates can be created from any callable that accepts anything from zero to two positional arguments: This is their generic for…

Using python and scikit-learn to make stock predictions

While I would not live trade based off of the predictions from this exact code, I do believe that you can use this project as starting point for a profitable trading system – I have actually used cod…

MLBox is a powerful Automated Machine Learning python library.

MLBox has been developed and used by many active community members. Your help is very valuable to make it better for everyone.

Machine Learning Platform and Recommendation Engine built on Kubernetes

Seldon Server is a machine learning platform that helps your data science team deploy models into production. Seldon supports models built with TensorFlow, Keras, Vowpal Wabbit, XGBoost, Gensim and a…

Python library for reading and writing image data

Imageio is a Python library that provides an easy interface to read and write a wide range of image data, including animated images, video, volumetric data, and scientific formats. It is cross-platf…

Deep Learning Toolkit for Medical Image Analysis

If you use DLTK in your work please refer to this citation for the current version: Setup a virtual environment and activate it. Although DLTK<=0.2.1 supports and python 2.7, we will not support i…

:blue_book: dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, html, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 support and many utilities.

alternatively you can install the main package: Here are the details of the supported formats, operations and extra options docs. These methods are common utilities that will speed up your everyday w…

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.

The Insight Toolkit (ITK) is an open-source, cross-platform toolkit for N-dimensional scientific image processing, segmentation, and registration. Segmentation is the process of identifying and class…

Multi-platform, free open source software for visualization and image computing.

Slicer, or 3D Slicer, is a free, open source software package for visualization and image analysis. 3D Slicer is natively designed to be available on multiple platforms, including Windows, Linux and …

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

In this repository, a number of deep learning based recommendation models are implemented using Python and Tensorflow. We started this project in the hope that it would reduce the efforts of research…

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

This is an open-source python package for the extraction of Radiomics features from medical imaging. With this package we aim to establish a reference standard for Radiomic Analysis, and provide a te…

ThePhish: an automated phishing email analysis tool

The following diagram shows how ThePhish works at high-level: This example aims to demonstrate how a user can send an email to ThePhish for it to be analyzed and how an analyst can actually analyze t…

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

You should already have pip, Python, and optionally XGBoost, LightGBM, and CatBoost installed on your system (see below). Run the following command to install AlphaPy: Pyfolio is automatically instal…

Completely free and open-source human-like Instagram bot. Powered by UIAutomator2 and compatible with basically any Android device 5.0+ that can run Instagram - real or emulated.

Don't worry about that now, it's not that hard to start botting with GramAddict! I tried to make it as noob-friendly as possible. In any case, if you follow the docs with all the steps provided, …

Coursera Machine Learning - Python code

This repository contains python implementations of certain exercises from the course by Andrew Ng. For a number of assignments in the course you are instructed to create complete, stand-alone Octav…

A medical imaging framework for Pytorch

MedicalTorch is an open-source framework for PyTorch, implementing an extensive set of loaders, pre-processors and datasets for medical imaging.

NBA sports betting using machine learning

A machine learning AI used to predict the winners and under/overs of NBA games. Takes all team data from the 2007-08 season to current season, matched with odds of those games, using a neural network…

Personal Assistant built using python libraries. It does almost anything which includes sending emails, Optical Text Recognition, Dynamic News Reporting at any time with API integration, Todo list generator, Opens any website with just a voice command, Plays Music, Wikipedia searching, Dictionary with Intelligent Sensing i.e. auto spell checking, Weather Reporting i.e. temp, wind speed, humidity, YouTube searching, Google Map searching, Youtube Downloading, etc.

Thank you for your interest in contributing to our Repo! Pull requests are welcome. For fixing typos, please make a PR with your fixes. We are happy for every contribution. A lot can be done with thi…

Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.

Retentioneering is a Python library that makes analyzing clickstreams, user paths (trajectories), and event logs much easier, and yields much broader and deeper insights than funnel analysis. You can…

A set of common support code for medical imaging, surgical navigation, and related purposes.

The Common Toolkit (CTK) is a community-driven effort, focused on providing support code for medical image analysis, surgical navigation, and related projects. To work with CTK, you need to have a C+…

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

You can find our sources and single-click downloads: DIPY can be installed using `pip`: or using `conda`: S. Van Der Walt, M. Descoteaux, I. Nimmo-Smith and DIPY contributors, "DIPY, a library for th…