Search Results for "machine learning python" - Page 31
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Showing 776 open source projects for "machine learning python"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Python SOAP is a free library implementing W3C's SOAP Protocol in the Python programming language. SOAP is an XML-based messaging protocol which is machine- and platform-independent.
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Lino is a suite of Python packages for IT professionals who offer business applications for small and medium-sized enterprises.
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...Optional typing, ie dynamic or static typing. Richly typed. Higher-level mathematics support, for example Complex numbers, Rational numbers and Matrices. Virtual Machine architecture. Co-routines. Familiar language syntax, influenced by Object Pascal, Python and Ada.
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RUG is an universal machine-friendly binary file generator. Together with suitable macro packages, it can be used to assemble executables for almost any known processor. The main goal is to build a backend for a future Scheme translator.
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Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Cigol (logic, spelled backwards) is a deductive logic solver. It can be embedded inside a parent program or used from the command line. It has absolutely no relationship to Tom Mitchell's book on Machine Learning.
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Gigabyte-scale persistent object Store in C++. Able to intern and persist arbitrary ELF loadble objects. Convenient class library (Lists, Strings, Dicts, Namespaces, etc.) optimised for spatial locality of reference. Virtual machine toolkit.
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The Ottawa Python Authors Group is devoted to learning, using, and providing resources to the Python programming language.
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GenP Genetic Programming Library is a cross-platform library of genetic programming functions for generic application. Initially it's purpose is for machine learning in board games but should be applicable to any purpose.
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The notorious bytecodehacks rewrite the bytecode executed by the CPython virtual machine to do things you never dreamt possible for Python.
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Think Python
Think Python is an interactive online learning environment for Python.
Think Python intends to be an interactive online learning environment for Python. It consists of two parts: A small IDE which is able to run your Python code in the browser without installing any plugins and an interactive training system which can contain explainations, questions and practical tasks. -
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Compiler and virtual machine of a new programming language similar to pascal with learning proposals for computer science engineering students.
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GENet
A genetic algorithm framework for artificial neural networks.
A genetic algorithm framework to allow the evolution of synapse weights and topologies of artificial neural networks. -
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Monty compiler
Low level programming language and compiler
Low level programming language and compiler close to python. Intended for experiments with in processor design. Consists of language definition, compiler and simple cpu simulation written in python. The compiler can be adapted to different processors easily. -
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The Open OVF project provides an open source library and tools for working with the virtual machines described in the Open Virtualization Format.
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grenadilla is a lab resource reservation system. It handles booking machines in a lab or server room. grenadilla is written in python, and leverages django.
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DBNL
Dynamic Bayesian Network Library
DBNL is a cross-platform library that offers a variety of implementations of Bayesian networks and machine learning algorithms. It is a flexible library that covers all aspects of Bayesian netwoks from representation to reasoning and learning. It allows you to create simple static networks as well as complex temporal models with changing structure. It can handle highly non-linear dependencies between multivariate random variables. -
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Self‑Healing Localization
Self‑Healing Localization is a lightweight Python library.
Self-Healing Localization Layer (SHL) is a Python localization engine that automatically creates, synchronizes, and maintains language files throughout the lifetime of your application. -
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A Visual Studio .NET C++ application can perform machine learning using genetic algorithm, naive bayes, KNN, and Artificial Neural Networks (ANNs) read and processed from any standard ARFF.
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PloneShellConsole is a Plone product, which intends to provide an web interface to manage, execute, and track shell scripts in any remote machine.
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html-template-generator
A simple Python script to generate HTML templates
# Simple HTML Template Generator Simple HTML Template Generator is a basic Python script designed to streamline the creation of HTML templates. Whether you're a web developer needing a quick boilerplate or someone learning HTML and Python, this tool provides an efficient way to generate well-structured HTML files with minimal effort. Features **Easy to Use**: Generate HTML templates with just a few lines of code. -
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Weka++ is a collection of machine learning and data mining algorithm implementations ported from Weka (http://www.cs.waikato.ac.nz/ml/weka/) from Java to C++, with enhancements for usability as embedded components.
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The learnbt is an open source learning bt protocol and c++ written and usable in C++. It is linux & unix platform software.
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Firefly's Clean Lzo
A human-readable ISC-Licensed implementation of the LZO1X algorithm.
...The main problem with LZO is that it is absolutely not human readable. People have done crazy stuff to get LZO to run in their language. Usually it implies inline assembly or trying to execute data which actually contains machine code. This is sick. Whoever is responsible for this sorry situation ought to be ashamed. So I'm going to deobfuscate LZO and provide a ISC implementation of this algorithm in Python and C. In addition, I will provide a textual description of the algorithm so that it can be easily ported to any programming language. I expect a severe performance degradation, but I leave optimizing for speed to other people. -
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FedRAMP 20x Toolkit
Open-source KSI mappings + OSCAL examples for FedRAMP 20x.
...Covers the IAM family (KSI-IAM-MFA, KSI-IAM-APM, KSI-IAM-SNU, KSI-IAM-JIT, KSI-IAM-ELP, KSI-IAM-SUS, KSI-IAM-AAM) and MLA family (KSI-MLA-OSM, KSI-MLA-RVL, KSI-MLA-EVC, KSI-MLA-LET, KSI-MLA-ALA) in depth, with machine-readable YAML mappings, real AWS Config rule references, NIST 800-53 control crosswalks, and per-indicator evidence shapes that compliance engineers can use directly during 3PAO preparation. Includes the full FedRAMP machine-readable documentation (FRMR v0.9.43-beta) and a Python ksi-validator CLI for OSCAL package validation. ...
