Search Results for "simple decision tree" - Page 2
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Showing 52 open source projects for "simple decision tree"
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MuZero General
A commented and documented implementation of MuZero
muzero-general is an open-source implementation of the MuZero reinforcement learning algorithm introduced by DeepMind. MuZero is a model-based reinforcement learning method that combines neural networks with Monte Carlo Tree Search to learn decision-making policies without requiring explicit knowledge of the environment’s dynamics. The repository provides a well-documented and commented implementation designed primarily for educational purposes. It allows researchers and developers to train reinforcement learning agents that can learn to play games such as Atari environments or board games. ... -
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Awesome Decision Tree Papers
A collection of research papers on decision, classification, etc.
A collection of research papers on decision, classification and regression trees with implementations. -
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Machine-Learning
kNN, decision tree, Bayesian, logistic regression, SVM
Machine-Learning is a repository focused on practical machine learning implementations in Python, covering classic algorithms like k-Nearest Neighbors, decision trees, naive Bayes, logistic regression, support vector machines, linear and tree-based regressions, and likely corresponding code examples and documentation. It targets learners or practitioners who want to understand and implement ML algorithms from scratch or via standard libraries, gaining hands-on experience rather than relying solely on black-box frameworks. ... -
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Awesome Graph Classification
Graph embedding, classification and representation learning papers
A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations. Relevant graph classification benchmark datasets are available. Similar collections about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations. -
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Forecasting Best Practices
Time Series Forecasting Best Practices & Examples
Time series forecasting is one of the most important topics in data science. Almost every business needs to predict the future in order to make better decisions and allocate resources more effectively. This repository provides examples and best practice guidelines for building forecasting solutions. The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in forecasting algorithms to build solutions and operationalize them. Rather than... -
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Machine Learning From Scratch
Bare bones NumPy implementations of machine learning models
...The goal of the project is to help learners understand how machine learning algorithms work internally by building them step by step from fundamental mathematical operations. The repository includes implementations of algorithms ranging from simple models such as linear regression and logistic regression to more complex techniques such as decision trees, support vector machines, clustering methods, and neural networks. Because the code avoids external machine learning libraries, it exposes the full logic behind model training, optimization, and prediction processes. The project also provides examples and explanations that illustrate how the algorithms behave and how different components interact during training. -
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CCZero (中国象棋Zero)
Implement AlphaZero/AlphaGo Zero methods on Chinese chess
ChineseChess-AlphaZero is a project that implements the AlphaZero algorithm for the game of Chinese Chess (Xiangqi). It adapts DeepMind’s AlphaZero method—combining neural networks and Monte Carlo Tree Search (MCTS)—to learn and play Chinese Chess without prior human data. The system includes self-play, training, and evaluation pipelines tailored to Xiangqi's unique game mechanics. -
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Mixup-CIFAR10
mixup: Beyond Empirical Risk Minimization
mixup-cifar10 is the official PyTorch implementation of “mixup: Beyond Empirical Risk Minimization” (Zhang et al., ICLR 2018), a foundational paper introducing mixup, a simple yet powerful data augmentation technique for training deep neural networks. The core idea of mixup is to generate synthetic training examples by taking convex combinations of pairs of input samples and their labels. By interpolating both data and labels, the model learns smoother decision boundaries and becomes more robust to noise and adversarial examples. ... -
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EfiPy
Python Library for accessing UEFI BIOS internal function by protocol
EfiPy is a Python Module on UEFI shell which can access UEFI BIOS kernel interface - System Table - Runtime Services - Boot Services pAnalyzer package - Tracing UEFI protocol calling flow Output protocol flow to screen or file with XML format CorePy (assembly package) - Simple Assembly code in Python environment. EfiPy Shell package- Simple uefi shell program coded with EfiPy library to prove EfiPy workable EfiPy leverage these open source packages - ctypes, CorePy. Samples https://sourceforge.net/u/efipy/svn/HEAD/tree/Trunk/ EfiPy Author: https://www.linkedin.com/in/max-wu-a9068b90/ -
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PhyloTrack
PhyloTrack, D3.js and JBrowse for phylogeny and positioning of samples
PhyloTrack is a JavaScript--based software tool that integrates the D3.js library for data visualization with the JBrowse tool for genome browser representation. It requires a phylogenetic tree of the common Newick data format as input, as well as three meta data files for samples, clade-defining nodes and clade color definitions - all in tab delimited format. Functionality within PhyloTrack shows the informative markers at each node in the phylogenetic tree, therefore highlighting clade-defining polymorphism. This functionality has been implemented using the tabix tool on the server side, providing simple and rapid access to the information at each tree node, including informative SNPs stored in VCF-similar files. ... -
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simplex with branch and bound
A tool for teaching simplex and branch & bound methods
This is a tool for teaching simplex and branch & bound methods. For simplex method, it comes with several examples including degeneracy and cycling, and allow the user to dictate how to pivot. For branch and bound method, it is desinged to interact with the user to explore all possible branch and bound trees. The user can also load a problem from a text file or simply type in a model directly. The format is very simple and very similar to the LP format, see the packed-in examples. -
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MusicPlayer
Music player - endlessly plays your music
This music player is supposed to be simple and all centered around an infinite intelligent queue (some other players call this PartyShuffle or DJ mode). You can manually add songs to it - but if you don't or the queue gets too short, it will automatically intelligently fill it with further songs. The intelligent queue decision currently is based on: * song ratings * context-based choices, e.g. related songs more likely Other features of this player: * open source, simplified BSD license * simple * support of most important sound formats. just uses FFmpeg * music database (optional) * audio volume normalization. own ReplayGain implementation * gapless playback * Last.fm scrobbling * AcoustID fingerprint * imports iTunes song ratings -
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TextBlob
TextBlob is a Python library for processing textual data
Simple, Pythonic, text processing, Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more. TextBlob stands on the giant shoulders of NLTK and pattern, and plays nicely with both. Supports word inflection (pluralization and singularization) and lemmatization,... -
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gEcrit is a Python orientated source code editor. It tries to keep the interface as clean as possible and keep the menus simple. It features all the common features a Python programmer might need, including an interactive Python shell.
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Pysimony
A Pythonic Implementation of Parsimony Inference of Phylogeny
UPDATE: After some bug fixes, I've ditched Pysimony for Javamony: https://sourceforge.net/projects/javamony/ Given Python's beauty, I know that someday I will have to finish Pysimony. A student's first attempt at a phylogenetic inference program, written in the simplistic yet elegant Python. Pysimony reads a FASTA file (only ATGC accepted) specified as its only argument. Basic testing has shown that it is slow, inaccurate and most definitely inefficient. An... -
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JBoost is a simple, robust system for classification. JBoost contains implementations of several boosting algorithms in an alternating decision tree framework. In addition, JBoost provides extensible software for adding more learning algorithms.
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GlassBeadGame
Organizing the Knowledge of Humanity
OUT OF DATE: See the Singularity project here at sourceforge. This project aims to make the expanse of human knowledge beautifully presentable and the exabytes of data navigable by an average user via the power of a Unified Data Model and 3d visualization layer for the Web. It will invert the top 3 layers of the OSI network model to make a 3-dimensional presentation layer with a peer-to-peer session layer for the Internet. For the curious, there is a simple demo that provides a... -
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Naufrago! is a simple offline RSS reader (including images) written in Python.
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General purpose discrete event simulation (DES) framework for the Python programming language. Khronos gathers ideas from other simulation software and tries to provide a simple and poweful toolset for simulation of discrete systems.
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An append only database manager in the style of dbm. It has both a C and a Python interface and is ACID compliant. Internally it uses an immutable B+ Tree. (Being append only doesn't mean that you can't replace records or delete keys).
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Kabikaboo is a simple tree-branch note organizer. It is meant to be used to help aid in the writing of a novel. Users can plan out their story, plot, and characters. Created with Python, PyGTK, Geany, and Glade, on Ubuntu Linux.
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PyQe has moved to Google Sites and github. Main page on Google Sites: http://sites.google.com/site/pythonquickexecute/. Code at github: http://github.com/brakjoller/pyqe/tree/master. See you there!
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TreeGen consists in a platform indipendent Python script which should work as a plugin for Blender. Thanks to the graphical interface, it aims to create random trees and forests in a simple and alternative way to L-System.
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A simple note jotter and organizer for the desktop. Notes are organized in a tree structure and the application displays them in a viewer when a note is selected.
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A simple Python-based web framework for viewing and editing genealogy data. Allows users to browse your family tree and make changes, such as adding new people, adding or deleting images, or notes and stories. Works with GEDCOM v5.5 and Spyce.
