Search Results for "machine language" - Page 6
Sort By:
Showing 302 open source projects for "machine language"
View related business solutions-
Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
-
$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.
-
1
ra
ra is a programming language and machine.
PLEASE READ THE PLATFORM SPECIFIC INSTRUCTIONS UNDER Files , ALSO FOUND IN README.txt, BEFORE DOWNLOADING!!! ra is a programming language and machine. Programs for ra are built from a small set of primitive control statements and a small set of operations. Although they contain no explicit types they are based on two primitive types, string and number, and a high order type, table. When called with the -d option ra includes commands for starting and stopping program execution and examining program state. -
2
libpostal
A C library for parsing/normalizing street addresses around the world
...This library helps convert the free-form addresses that humans use into clean normalized forms suitable for machine comparison and full-text indexing. Though libpostal is not itself a full geocoder, it can be used as a preprocessing step to make any geocoding application smarter, and simpler. -
3
Microsoft Bot Framework SDK
Tool for building conversation applications
Bot Framework provides the most comprehensive experience for building conversation applications. With the Bot Framework SDK, developers can build bots that converse free-form or with guided interactions including using simple text or rich cards that contain text, images, and action buttons. Developers can model and build sophisticated conversation using their favorite programming languages including C#, JS, Python and Java or using Bot Framework Composer, an open-source, visual authoring... -
4
Arraymancer
A fast, ergonomic and portable tensor library in Nim
Arraymancer is a tensor and deep learning library for the Nim programming language, designed for high-performance numerical computations and machine learning applications. -
Compliant and Reliable File Transfers Backed by Top Security CertificationsStop relying on non-certified, legacy file transfer tools that creak under the weight of modern security demands. Get full audit trails, advanced access controls and more supported by an award-winning team of experts. Start your free 25-day trial today.
-
5
NLP Architect
A model library for exploring state-of-the-art deep learning
NLP Architect is an open-source Python library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing and Natural Language Understanding neural networks. The library includes our past and ongoing NLP research and development efforts as part of Intel AI Lab. NLP Architect is designed to be flexible for adding new models, neural network components, data handling methods, and for easy training and running models. NLP Architect is a... -
6
Ubik Code IDE II
New programming language simple, free, secure, open-source.
The Ubik Code IDE is used to debug and edit programs in Ubik Code. The Ubik Code is a powerful object-oriented programming language. Examples of programs are available in the "Ubik Samples" folder. To learn programming in Ubik Code. Documentation : http://ubikdoc.tk/ More Informations : http://ubik.tk/ http://ubikcodeide.cf/ Open-Source: https://github.com/Alan-Kubiak-Zero-One/The-Ubik-Code -
7
fastNLP
fastNLP: A Modularized and Extensible NLP Framework
fastNLP is a lightweight framework for natural language processing (NLP), the goal is to quickly implement NLP tasks and build complex models. A unified Tabular data container simplifies the data preprocessing process. Built-in Loader and Pipe for multiple datasets, eliminating the need for preprocessing code. Various convenient NLP tools, such as Embedding loading (including ELMo and BERT), intermediate data cache, etc.. Provide a variety of neural network components and recurrence models... -
8
JPHP
JPHP - an implementation of PHP on Java VM
JPPM is a packager manager for JPHP like npm or composer. JPPM will help you to build and run jphp applications or write new packages. JPHP is a new implementation for PHP which uses the Java VM. It supports many features of the PHP language (7.1+). How does it work? JPHP is a compiler like javac, it compiles PHP sources to JVM bytecode and then can execute the result on the Java VM. We develop a new IDE for beginners like Game Maker or Scirra Construct. It's based on JPHP, JavaFX, Java 8,... -
9
Dart
Dart is a client-optimized language for fast apps on any platform
The Dart SDK, including the VM, dart2js, core libraries, and more. Develop with a programming language specialized around the needs of user interface creation. Make changes iteratively, use hot reload to see the result instantly in your running app. Compile to ARM & x64 machine code for mobile, desktop, and backend. Or compile to JavaScript for the web. Mature and complete async-await for user interfaces containing event-driven code, paired with isolate-based concurrency. ... -
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.
-
10
ocapi
C-level driver collection for MSP430 and derivatives
...ocapi is used as the hardware abstraction layer for the MSP430 port of the Takatuka Java virtual machine (JVM). Before it can be used, the library must be built from the sources provided here. The build environment allows for fine grained configuration of the library's functionality and target system. -
11
DeepLearning
Deep Learning (Flower Book) mathematical derivation
...It is edited by three world-renowned experts, Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Includes linear algebra, probability theory, information theory, numerical optimization, and related content in machine learning. At the same time, it also introduces deep learning techniques used by practitioners in the industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling and practical methods, and investigates topics such as natural language processing, Applications in speech recognition, computer vision, online recommender systems, bioinformatics, and video games. ... -
12
RISC-V BOOM
SonicBOOM: The Berkeley Out-of-Order Machine
The riscv-boom project (also called BOOM or SonicBOOM) implements a high-performance, synthesizable out-of-order RISC-V core written in the Chisel hardware construction language. It targets the RV64GC (i.e. 64-bit with general + compressed + floating point) instruction set and supports features such as virtual memory, caches, atomics, and IEEE-754 floating point. The design is parameterizable, meaning users can tune pipeline widths, buffer sizes, functional units, and other... -
13
Emojicode
World’s only programming language that’s bursting with emojis
Emojicode is an open-source, full-blown programming language consisting of emojis. As a multi-paradigm language, Emojicode features object orientation, optionals, generics, closures, and protocols. Emojicode compiles native machine code using lots of optimizations that make your code fast. Emojicode comes with a comprehensive set of default packages. And you can easily write your own. We believe that Emojis have expressive force. -
14
PRMLT
Matlab code of machine learning algorithms in book PRML
This Matlab package implements machine learning algorithms described in the great textbook: Pattern Recognition and Machine Learning by C. Bishop (PRML). It is written purely in Matlab language. It is self-contained. There is no external dependency. This package requires Matlab R2016b or latter, since it utilizes a new Matlab syntax called Implicit expansion (a.k.a. broadcasting). -
15
GHC (Glasgow Haskell Compiler)
Mirror of the Glasgow Haskell Compiler
GHC (Glasgow Haskell Compiler) is the leading open-source compiler and interactive environment for the Haskell programming language, supporting the Haskell 2010 standard plus numerous language extensions. It compiles to native machine code (via LLVM or C), and includes the interactive GHCi REPL. For full information on building GHC, see the GHC Building Guide. Here follows a summary - if you get into trouble, the Building Guide has all the answers. For building library documentation, you'll need Haddock. ... -
16
PyTorch Natural Language Processing
Basic Utilities for PyTorch Natural Language Processing (NLP)
PyTorch-NLP is a library for Natural Language Processing (NLP) in Python. It’s built with the very latest research in mind, and was designed from day one to support rapid prototyping. PyTorch-NLP comes with pre-trained embeddings, samplers, dataset loaders, metrics, neural network modules and text encoders. It’s open-source software, released under the BSD3 license. With your batch in hand, you can use PyTorch to develop and train your model using gradient descent. For example, check out... -
17
PPface
PPface is vector processor emulator / simulator
PPface is vector processor emulator / simulator (SIMD array processor with 1-bit processing elements). VEPRAN language used to design parallel algorithms and operate data slices. The system allows to visualize algorithm work by viewing vector memory and registers, it supports debugging and animated program execution. To run this app on 64-bit system please install Windows Virtual PC and Windows XP Mode. -
18
TensorFlow Haskell
Haskell bindings for TensorFlow
The tensorflow-haskell package provides Haskell-language bindings for TensorFlow, giving Haskell developers the ability to build and run computation graphs, machine learning models, and leverage TensorFlow's ecosystem—though it is not an official Google release. As an expedient we use docker for building. Once you have docker working, the following commands will compile and run the tests. -
19
Django Celery
Old Celery integration project for Django
Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time processing, while also supporting task scheduling. Celery has a large and diverse community of users and contributors, you should come join us on IRC or our mailing-list. Celery is Open Source and licensed under the BSD License. A task queue’s input is a unit of work called a... -
20
The Quorum Programming Language
The world's first evidence-oriented programming language
Quorum is a programming language designed in empirical studies with humans to be intuitive and easy to use. It is a Java Virtual Machine language with full Integrated Development and Debugger support built into the Sodbeans project. Version 4.0 includes support for graphics, 3D sound support, and Lego robotics. -
21
Pipelines
An experimental programming language for data flow
Pipelines is a language and runtime for crafting massively parallel pipelines. Unlike other languages for defining data flow, the Pipeline language requires the implementation of components to be defined separately in the Python scripting language. This allows the details of implementations to be separated from the structure of the pipeline while providing access to thousands of active libraries for machine learning, data analysis, and processing. -
22
An implementation of a light-weight stack-less jit compiler for x86 (32/64), ARM (32 [v5,v7,thumb2]/64), PowerPC (32/64), MIPS (32/64) and SPARC (32) architectures. It generates machine code from a platform independent (simplified) assembly language.
-
23
X10
Performance and Productivity at Scale
X10 is a class-based, strongly-typed, garbage-collected, object-oriented language. To support concurrency and distribution, X10 uses the Asynchronous Partitioned Global Address Space programming model (APGAS). This model introduces two key concepts -- places and asynchronous tasks -- and a few mechanisms for coordination. With these, APGAS can express both regular and irregular parallelism, message-passing-style and active-message-style computations, fork-join and bulk-synchronous... -
24
Mozart-Oz Programming System
Runtime and development environment of Oz
The Mozart Programming System is an open source implementation of the programming language Oz 3. Oz is a multi-paradigm language that supports declarative programming, object-oriented programming, constraint programming, concurrency and distributed programming as part of a coherent whole. -
25
Edward
A probabilistic programming language in TensorFlow
A library for probabilistic modeling, inference, and criticism. Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields, Bayesian statistics and machine learning, deep learning, and probabilistic programming. Edward is built on TensorFlow. It...
