Tree Libraries

34 Components & Libraries

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Tree Libraries

Up and Running with Git: A pragmatic, UI-based Approach Course Repo

We created several repositories during the course. We've made them public and you can access them here: This course takes an unconventional and pragmatic approach to git and source control and will g…

A python Tkinter widget to display tile based maps like OpenStreetMap or Google Satellite Images.

TkinterMapView is a tile based interactive map renderer widget for the python Tkinter library. By default, it displays the OpenStreetMap map, but you can change the tile server to whatever you like, …

Add live stock & crypto prices to your discord sidebar.

Live stock and crypto tickers for your discord server. With these bots you can track prices of... 🍾 100 public tickers with over 15k installs across 3k discord servers! If you are interested in a tic…

Machine_Learning_Algorithms_from_Scratch

This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.

This repository explores the variety of techniques anf alorithm commonly used in machine learning and the implementation in MATLAB and PYTHON. Alogrithm used are : Extract the ZIP and open it. Unfort…

Machine-Learning-A-Z-hands-on-Python-And-R-in-data-Science

Repository For Codes And Concept Taught in Udemy Course

Repository For Codes And Concept Taught in Udemy Course Files available for redistribution and download only for educational purposes.

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

Change detection based on remote sensing (RS) data is an important method of detecting changes on the Earth’s surface and has a wide range of applications in urban planning, environmental monitoring,…

Awesome Configurations for C/C++, Zig, Rust, Python, Shell, Web and Lua development in NeoVim

fork this repo into your account Start Neovim! To view the help pages and instruction manual on the various extensions

A Python library/script to automatically generate TWRP-compatible device tree from a boot/recovery image

Requires Python 3.8 or greater You can also use the module in a script, with the following code:

A curated list of Best Artificial Intelligence Resources

Monte Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space and building a search tree accordingly. It has already had a profound impact on Artificial Intelligence (AI) approaches for domains that can be represented as trees of sequential decisions, particularly games and planning problems. In this project I used a board game called "HEX" as a platform to test different simulation strategies in MCTS field.

MONTE Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space and building a search tree according to the results. It has a…

I will update this repository to learn Machine learning with python with statistics content and materials

I will update this repository to learn Machine learning with python with statistics content and materials practise in Kaggle : Did necessary preprocessing and predicted the result using the Linear re…

Universal Reddit Scraper - A comprehensive Reddit scraping/archival command-line tool.

You can send me an email by clicking on the badge. I look forward to hearing from you! This is a comprehensive Reddit scraping tool that integrates multiple features: This is a shout-out section for …

Open-source code analysis platform for C/C++/Java/Binary/Javascript/Python/Kotlin based on code property graphs. Discord https://discord.gg/vv4MH284Hc

Joern is a platform for analyzing source code, bytecode, and binary executables. It generates code property graphs (CPGs), a graph representation of code for cross-language code analysis. Code proper…

A middle-to-high level open source algorithm book designed with coding interview at heart!

All contributors (with decent amount of contributions) will be listed as authors in the project. In short, this is a middle-to-high level algorithm book designed with cracking coding interviews at he…

Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants.

cc3d is an implementation of connected components in three dimensions using a 26, 18, or 6-connected neighborhood in 3D or 4 and 8-connected in 2D. This package uses a 3D variant of the two pass meth…

interpretable_machine_learning_with_python

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Examples of techniques for training interpretable machine learning (ML) models, explaining ML models, and debugging ML models for accuracy, discrimination, and security. The notebooks highlight techn…

Machine Learning notebooks for refreshing concepts.

Helpful jupyter noteboks that I compiled while learning Machine Learning and Deep Learning from various sources on the Internet. Linear & Multiple Regression Logistic Regression Regularization

Algorithmic trading using machine learning.

This machine learning algorithm was built using Python 3 and scikit-learn with a Decision Tree Classifier. The program gathers stock data using the Google Finance API and pandas. The data is illustra…

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Install CatBoost by following the guide for the Next you may want to investigate: If you cannot open documentation in your browser try adding yastatic.net and yastat.net to the list of allowed domain…

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

You can start with this article that I wrote in Heartbeat magazine (on Medium platform): Jupyter notebooks covering a wide range of functions and operations on the topics of NumPy, Pandans, Seaborn, …

Python code for common Machine Learning Algorithms

Python codes for common Machine Learning Algorithms

M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

This is the Jupyter notebook version of the following book: If you use either book or code in a scholarly publication, please cite as: M. Beyeler, (2017). Machine Learning for OpenCV. Packt Publishin…

Tasking Manager - The tool to team up for mapping in OpenStreetMap

Minimal examples of data structures and algorithms in Python

Minimal and clean example implementations of data structures and algorithms in Python 3. For running all tests write down: For running some specific tests you can do this as following (Ex: sort): For…

A Static Analysis Tool for Detecting Security Vulnerabilities in Python Web Applications

Static analysis of Python web applications based on theoretical foundations (Control flow graphs, fixed point, dataflow analysis) Example usage and output: Before continuing, make sure you have pytho…

leetcode.com , algoexpert.io solutions in python and swift

I have solved quite a number of problems from several topics. See the below table for further details. BFS, DFS, Dijkstra, Floyd–Warshall, Bellman-Ford, Kruskal, Prim's…

My implementation of 85+ popular data structures and algorithms and interview questions in Python 3 and C++

My implementation of some popular data structures and algorithms and interview questions relating to them in Python 3 and C++ Contains implementation of Graph data structure and some common questions…

Django JSONEditor input widget to provide javascript online JSON Editor

Django-JSONEditor is an online structured JSON input widget for Django appropriate for various JSONField's provided for Django. Sample views: Note that you should use one of original JSONField packag…