Search Results for "git:/git.code.sf.net/p/docfetcher/code" - Page 31
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Showing 775 open source projects for "git:/git.code.sf.net/p/docfetcher/code"
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Software for managing apps and accounts | WebCatalogTurn websites into desktop apps with WebCatalog Desktop—your all-in-one tool to manage apps and accounts. Switch between multiple accounts, organize apps by workflow, and access a curated catalog of desktop apps for Mac and Windows.
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ProximityForest
Efficient Approximate Nearest Neighbors for General Metric Spaces
...One application of a ProximityForest is given in the following CVPR publication: Stephen O'Hara and Bruce A. Draper, "Scalable Action Recognition with a Subspace Forest," IEEE Conference on Computer Vision and Pattern Recognition, 2012. This source code is provided without warranty and is available under the GPL license. More commercially-friendly licenses may be available. Please contact Stephen O'Hara for license options. Please view the wiki on this site for installation instructions and examples on reproducing the results of the papers. -
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BetBoy
Using neural networks to predict outcomes of football matches
Predicting outcomes of matches using neural networks,simulations,automatic bets selector,automatic/manual database updates How to use instructions: https://sourceforge.net/p/betboy/wiki/Home/ Video presentation: http://www.youtube.com/watch?feature=player_embedded&v=I2C5TlBSB6w http://www.youtube.com/watch?feature=player_embedded&v=hZ00br89_l8 http://www.youtube.com/watch?feature=player_embedded&v=844iwI8zBZk -
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InproTK
An Incremental Spoken Dialogue Processing Toolkit
InproTK is an Incremental Spoken Dialogue Processing Toolkit, that is, a toolkit to help you build dialogue systems that listen and talk incrementally, allowing for advanced interactional behaviour. Please see our Wiki for more information: http://sourceforge.net/p/inprotk/wiki/ -
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...Applicable to most types of spatiotemporal data, it has proven particularly effective for speech and handwriting recognition. full installation and usage instructions given at http://sourceforge.net/p/rnnl/wiki/Home/
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Optimize every aspect of hiring with Greenhouse RecruitingWhat’s next for many of us is changing. Your company’s ability to hire great talent is as important as ever – so you’ll be ready for whatever’s ahead. Whether you need to scale your team quickly or improve your hiring process, Greenhouse gives you the right technology, know-how and support to take on what’s next.
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Game of Turmites
Conway's Game of Life and Turmites Combined!
...It's all very randomly generated, and there is no way for any user input. I'll consider putting some in later. I had been wanting to make the Game of Life for some time as well as make some kind of genetic algorithm based code. So, here is what I came up with. While this may just seem like simplify a graphical display of what boredom looks like... well, it really doesn't go much past that point. If you Don't know what Conway's game of life is: It's the Black (Or white, I may have changed them) cells that follow a simple set of instructions based on the state of its adjacent cells. ... -
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pyIRDG
IMDb Relational Dataset Generator
pyIRDG is a program written in Python to generate relational datasets in Prolog format. It uses data from the Internet Movie Database in combination with IMDbPY as backend. A graphical user interface written in pyQt allows the user to link multiple entities together as model for the generation process. The big four entities are Title, Person, Company and Character. Many attributes can be chosen for adding to the output .pl file. Three types of constraints on attributes are available to limit... -
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mlpy
Machine Learning Python
mlpy is a Python module for Machine Learning built on top of NumPy/SciPy and of GSL. mlpy provides high-level functions and classes allowing, with few lines of code, the design of rich workflows for classification, regression, clustering and feature selection. mlpy is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License version 3. mlpy is available both for Python >=2.6 and Python 3.X. -
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Open Metaheuristic (oMetah) is a library aimed at the conception and the rigourous testing of metaheuristics (i.e. genetic algorithms, simulated annealing, ...). The code design is separated in components : algorithms, problems and a test report generator
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PyPR - Python Pattern Recognition. A small collection of useful pattern recognition methods. The code is still in its early stages.
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ToogleBox: Simplify, Automate and Improve Google Workspace FunctionalitiesToogleBox was created as a solution to address the challenges faced by Google Workspace Super Admins. We developed a premium and secure Software-as-a-Service (SaaS) product completely based on specific customer needs. ToogleBox automates most of the manual processes when working with Google Workspace functionalities and includes additional features to improve the administrator experience.
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Both forward-chaining and backward-chaining rules (which may include python code) are compiled into python. Can also automatically assemble python programs out of python functions which are attached to backward-chaining rules. See pyke.sourceforge.ne
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A three-step approach towards experimental brain-computer-interfaces, based on the OCZ nia device for EEG-data acquisition and artificial neural networks for signal-interpretation.
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Brainiac, Is C/C++ Libraries, Programs, And Python, And Lua Scripts For Neural Networking And Genetic Programming, In An Attempt To Create A "Glue-It-All-Together" Project, Striving Towards General Artificial Intelligence
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Source code from the book "Artificial Intelligence for Computer Games: An Introduction" by John Funge.
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Multi Agent based distributed application. The code can be processed over multiple common machines with fault-tolerance. It is designed to distributively run any Python's script, which can be applied to a given input data set.
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Mental is a neural network engine implemented in pure Python. Design goals are easy-to-read source code, completeness, and ease of use. Presently implements feed-forward, back-propagation networks. Intended primarily for instructional use.
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The Python Genetic Programming Project implements a Genetic Programming System a la J Koza in Python.
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Leanstral
Open-source code agent designed for Lean 4
Leanstral is an open-weight large language model developed by Mistral AI and specifically designed as a code agent for the Lean 4 proof assistant, enabling advanced interaction with formal mathematics and program verification systems. The model is built to understand and generate Lean 4 code, which is used to express complex mathematical constructs as well as formal software specifications. By focusing on theorem proving and formal reasoning, Leanstral represents a specialized direction within large language models, targeting domains that require strict correctness and logical rigor rather than general conversational tasks. ... -
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Mellum-4b-base
JetBrains’ 4B parameter code model for completions
Mellum-4b-base is JetBrains’ first open-source large language model designed and optimized for code-related tasks. Built with 4 billion parameters and a LLaMA-style architecture, it was trained on over 4.2 trillion tokens across multiple programming languages, including datasets such as The Stack, StarCoder, and CommitPack. With a context window of 8,192 tokens, it excels at code completion, fill-in-the-middle tasks, and intelligent code suggestions for professional developer tools and IDEs. ... -
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Monk Computer Vision
A low code unified framework for computer vision and deep learning
... - Monk Object Detection - https://github.com/Tessellate-Imaging/Monk_Object_Detection. Monk object detection is our take on assembling state of the art object detection, image segmentation, pose estimation algorithms at one place, making them low code and easily configurable on any machine. - Monk GUI - https://github.com/Tessellate-Imaging/Monk_Gui. An interface over these low code tools for non coders. -
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gpt-oss-20b
OpenAI’s compact 20B open model for fast, agentic, and local use
...With 21B total parameters and 3.6B active parameters (MoE), it fits within 16GB of memory thanks to native MXFP4 quantization. Designed for high-performance reasoning, it supports Harmony response format, function calling, web browsing, and code execution. Like its larger sibling (gpt-oss-120b), it offers adjustable reasoning depth and full chain-of-thought visibility for better interpretability. It’s released under a permissive Apache 2.0 license, allowing unrestricted commercial and research use. GPT-OSS-20B is compatible with Transformers, vLLM, Ollama, PyTorch, and other tools. ... -
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NewsNotFound
This is the entire source code for NewsNotFound's article gen process
Our mission is to lead the way in AI journalism by providing completely neutral and unbiased news articles that can be governed by the public. NewsNotFound is a news website located at https://newsnotfound.com. We want to build the most unbiased news platform on the internet. -
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Generic engine to filter information. We wish to show that the power of expression of a filter makes it possible to appreciably reduce the size of the code necessary to extract information and that it is possible in Python.
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text_summurization_abstractive_methods
Multiple implementations for abstractive text summurization
This repo is built to collect multiple implementations for abstractive approaches to address text summarization it is built to simply run on google colab , in one notebook so you would only need an internet connection to run these examples without the need to have a powerful machine , so all the code examples would be in a jupyter format , and you don't have to download data to your device as we connect these jupyter notebooks to google drive -
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QSO-Graph
Ham radio MCP servers for AI Agents — 71 tools, 11 packages
...Provides AI-powered access to QRZ, eQSL, LoTW, HamQTH, POTA, SOTA, IOTA, WSPR, solar weather, ADIF parsing, and HF Description: Propagation analytics. Native installers for Windows (InnoSetup) and Linux (RPM). All servers also available via pip from PyPI. Source code at github.com/qso-graph.
