Search Results for "machine learning platform" - Page 88
Sort By:
Showing 2549 open source projects for "machine learning platform"
View related business solutions-
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
1
EpochX is an open source genetic programming framework, specifically for analysing the properties of evolutionary automatic programming. It supports 3 popular representations - Strongly-Typed GP, Context-Free Grammar GP and Grammatical Evolution.
-
2
-
3
-
4
LiteASM
Light Weight & Customizable Assembly Compiler & Virtual Machine
LiteASM is a light weight and reconfigurable Assembly language compiler and Virtual Machine. It is specially design for embedded systems to use as a portable script interface. -
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
5
interpedia
Interpedia VLMS (Virtual Lab Management System)
Interpedia is moved to https://bitbucket.org/interpedia/interpedia/downloads --------------------------------------------- Interpedia VLMS is a cloud based (PaaS,SaaS) product: - for the administration - documentation - tracking - collaboration - and reporting of training programs - virtual classrooms - online events - e-learning programs - and training content - Learning Management System (openeclass) It provides advanced functionality by supplying fully functional... -
6
Stanford Machine Learning Course
machine learning course programming exercise
The Stanford Machine Learning Course Exercises repository contains programming assignments from the well-known Stanford Machine Learning online course. It includes implementations of a variety of fundamental algorithms using Python and MATLAB/Octave. The repository covers a broad set of topics such as linear regression, logistic regression, neural networks, clustering, support vector machines, and recommender systems. -
7
Machine Learning TicTacToe
TicTacToe with simple machine learning algorithm.
This is a free version of TicTacToe with little intellectual abilities. A very simple Machine Learning stuff. When I say "free", I mean "Free is like in Freedom". Even if Mr. Stallman prefers EMACS, this program was written on Vim. -
8
P53 Cancer Rescue Project, University of California, Irvine , Samuel A. Danziger, Christopher Wassman, Faezeh Salehi Amiri, Roberta Baronio, Linda Hall, Rainer K. Brachmann, G. Wesley Hatfield, Peter Kaiser, Richard H. Lathrop
-
9
CvHMM
Discrete Hidden Markov Models based on OpenCV
This project (CvHMM) is an implementation of discrete Hidden Markov Models (HMM) based on OpenCV. It is simple to understand and simple to use. The Zip file contains one header for the implementation and one main.cpp file for a demonstration of how it works. Hope it becomes useful for your projects. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
10
Weighted Naive Bayes
Attribute Weighting for Naive Bayes
Despite the simplicity and naive assumption of the Naive Bayes classifier, it has continued to perform well against more sophisticated newcomers and has remained, therefore, of great interest to the machine learning community. Of numerous approaches to refining the naive Bayes classifier, attribute weighting has received less attention than it warrants. Most approaches,perhaps influenced by attribute weighting in other machine learning algorithms, use weighting to place more emphasis on highly predictive attributes than those that are less predictive. ... -
11
Easy-to-use, open source web development platform. Visual, drag and drop tools allow anyone to create web apps with minimal learning curve. Java architecture: Spring, Hibernate, Ajax Dojo toolkit, MySQL, PostgreSQL, HSQLDB (bundles w HSQLDB)
-
12
LANchat
Chat inside a LAN (subnet).
This is an application for chatting inside a subnet. For example if three PCs are connected via Ethernet at home, they can talk to each other. I started this to practice network programming with Qt Framework and to be able to chat to my other machine at home. It implements a serverless (P2P) chat protocol called Train. -
13
Redundancy due to cut-paste operations in text creates bias in machine learning for NLP. This module takes a directory and produces a subset of the files in that directory (in a list) with an upper bound on similarity between two files.
-
14
GlobalTester
Test platform for all kinds of smart cards
GlobalTester helps you to test all kind of smart cards and chip cards. GlobalTester is a plug-in for the popular Eclipse platform and allows the execution of test scripts structured with XML and defined using JavaScript. The platform is developed to test the conformity of machine readable travel documents (MRTD) - aka ePassports - and the protocols used on these chips. The free available version of GlobalTester supports Basic Access Control (BAC) and Secure Messaging (SM) as specified by International Civil Aviation Organization (ICAO). -
15
CRUMp
A probabilistic prediction system of protein phosphorylation sites
CRUMp is based on a kernel-based learning method called Classification Relevance Units Machine (CRUM). Given an input set of protein sequences in FASTA format, the system outputs the position, residue type (S, T, or Y), and the estimated probability of each tested site being phosphorylatable. Latest downloadable files: - crump-0.2.0.tar.gz: CRUMp GNU Octave package - crump-0.2.0.zip: CRUMp MATLAB script - crumptestset.fasta: A testing dataset in FASTA format. -
16
PyVocabularyTree
A vocabulary tree for image classification using OpenCV
A vocabulary tree for image classification have been designed to be integrated in mobile robotic applications. It is a learning schema based on decission trees, bags of features and inverted files. The design provides training and optimization parameters that have been characterized using several detectors and descriptors for several input datasets. Evaluation tests performed on public image databases allow to compare obtained results with previously published literature. All the tools... -
17
...There is a need to secure the computation state during communication and storage and we achieve this through the implementation of a trusted platform.
-
18
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. -
19
CRFSharp
CRFSharp is a .NET(C#) implementation of Conditional Random Field
CRFSharp(aka CRF#) is a .NET(C#) implementation of Conditional Random Fields, an machine learning algorithm for learning from labeled sequences of examples. It is widely used in Natural Language Process (NLP) tasks, for example: word breaker, postagging, named entity recognized, query chunking and so on. CRF#'s mainly algorithm is the same as CRF++ written by Taku Kudo. It encodes model parameters by L-BFGS. Moreover, it has many significant improvement than CRF++, such as totally parallel encoding, optimizing memory usage and so on. ... -
20
DHAC distribution
DHAC distribution version
DHAC distribution -
21
jPeriodic
jPeriodic is a table of elements written in Java
...Additionaly jPeriodic offers a small temperature converter which is able to convert between Celcius and Kelvin. Because jPeriodic is coded in Java the software is platform-independent, meaning you can run jPeriodic on Windows, Mac OS, Linux and many other operating systems which are able to run a Java Virtual Machine. -
22
Quake III Arena
Quake III Arena GPL Source Release
Quake-III-Arena is the legendary first-person shooter originally released in 1999, and this repository holds its GPL-licensed source code release. By making the engine code fully open under GPL-2.0 (with licensing details regarding some bundled libraries like zlib), it allows the community to build, port, and maintain the engine, ensuring that the game remains playable even decades later. The release includes all major game subsystems: rendering, physics, network code, game logic, and tools... -
23
jaf_MT
This implements a phrased-based hidden semi-Markov Model for SMT
This package implements the phrased-based hidden semi-Markov model described: Jesús Andrés-Ferrer, Alfons Juan. A phrase-based hidden semi-Markov approach to machine translation. Procedings of European Association for Machine Translation (EAMT), 2009. pp. 168-175. This project depends on jaf_Utils: http://sourceforge.net/projects/jafutils/ Install it prior installation of jaf_MT. -
24
Linear Regression
linear regression along with plotting
Linear regression with plotting facility for simple and 2d regression. linear_regression.c is the main file and Include the library lib_sim_eq.c. You must have installed gnuplot prior to compiling the program. -
25
INI-ML
Collection of Machine Learning code from the INI
The idea is to get some working demos up there (in matlab/python/whatever) that people can use as a start for machine learning / simulation projects.
