Search Results for "machine learning platform" - Page 22
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Showing 571 open source projects for "machine learning platform"
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Aleph is both a multi-platform machine learning framework aimed at simplicity and performance, and a library of selected state-of-the-art algorithms.
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Kaya: A statically typed, imperative cross-platform programming language with type inference, powerful data description capabilities and built-in abstractions and libraries for easy and robust web application development. http://kayalang.org/
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abiquo platform allows to create intelligent distributed networks interconnecting all kind of devices. We ease the interaction between gadgets, users and organizations through empowering technologies which add intelligence to actual networks.
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Secure File Transfer for Windows with Cerberus by RedwoodCerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
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A generic finite state machine (FSM) API for the Java platform. The API enables creating a performing FSM at runtime and with type safety. Project also includes a non-blocking context scheduler for running FSMs over multiple contexts.
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Multi platform project is a program for making possible to run some kinds of program on any platform like in java, but as it uses mmaped memory and other stuff,I think it can run faster and safely.As it's not yet finished it's less interesting.
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The Free Connectionist Q-learning Java Framework is an library for developing learning systems. Keywords: qlearning, artificial intelligence, alife, neural nets, neural networks, machine learning, reinforcement learning unsupervised learning agents lejos
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Hipo is a hypothetical computer to facilitate the learning of machine language. The student can use hipo to develop simple programs and understand the internal logic of a computer. There is a plan to implement Donald Knuth's MMIX machine language, also.
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Dinaao Is Not An Apple One Emulator. It does however already run most apple1 software. It runs on the command line so cut and paste works perfectly. A great 65C02/Basic learning/development environment.
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Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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Turbo C' graphics libraries which are available on DOS. Ported on X platform by using X Window System. So students who are learning Turbo Graphics can work around on X environment with better graphics programming features.
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A Java-written MIPS simulator developed to stimulate people learning the Assembly language. It adds graphics, sounds and user interation to make writing assembly programs more interesting.
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Java Virtual System (JVS) is built around a virtual file system (VFS) - a common platform of Java, by Java, for Java. JVS extends JVM and makes it from an interpreter running half-compiled code a first-class server.
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Machine learning toolkit for unsupervised and semi-supervised clustering that demonstrates excellent results on real-world data (see Bekkerman et al. ICML-2005 and ECML-2006).
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Conrad is both a high performance Conditional Random Field engine which can be applied to a variety of machine learning problems and a specific set of models for gene prediction using semi-Markov CRFs.
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JSim8086 is platform-independent Assembly Language Simulator of the Intel 8086 CPU. It was designed to be a learning tool (CAL) for first year Computing students who are learning Computer Systems Organisation and Assembly Programming.
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Lanhuahua is used to design pattern files for our Electronic Pattern-Sewing Machine. It was developed on "Linux + MiniGUI", and can run at the same platform.
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KNN-WEKA provides a implementation of the K-nearest neighbour algorithm for Weka. Weka is a collection of machine learning algorithms for data mining tasks. For more information on Weka, see http://www.cs.waikato.ac.nz/ml/weka/.
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OpenXL provides a flexible, platform-independent SOA/Web Service middleware and workflow programming language (SLL). OpenXL supports the creation, provisioning and execution of Web Services as well as the integration of code written in BPEL, Java, etc.
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MultiBoost is a C++ implementation of the multi-class AdaBoost algorithm. AdaBoost is a powerful meta-learning algorithm commonly used in machine learning. The code is well documented and easy to extend, especially for adding new weak learners.
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GrubC is a platform independent C/C++ graphic and GUI library with an object-oriented approach based on a Java Virtual Machine. By now AWT GUI functionality, 2D drawing and turtle graphic is supported.
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The binary I/O stream class library presents a platform-independent way to access binary data streams in C++. It transparently converts between machine-internal binary data representation and can be used on arbitrary binary data sources.
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JHaskell provides a Haskell interpreter and compiler for the JVM. The goal is to make Haskell a viable language for development for the Java platform and also to allow existing Haskell programs to run on the JVM.
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The XPS is a scalable platform for meta-programming and domain engineering. It provides a virtual machine, compiler, and runtime library that make it possible to efficiently develop, debug, and run programs based on XPL (eXtensible Programming Language)