Search Results for "machine language" - Page 17
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Showing 768 open source projects for "machine language"
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Classic HWUT
Software Unit Tests (Language Independent Approach)
...Remote control-able function stubs may be generated using the 'stub' mode. Test cases can be generated using the 'gen' mode, and state machine walkers by the 'sm_walker' mode. Over the last decade HWUT has matured towards a full fledged unit test tool for a wide variety of applications. -
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d2l-zh
Chinese-language edition of Dive into Deep Learning
d2l‑zh is the Chinese-language edition of Dive into Deep Learning, an interactive, open‑source deep learning textbook that combines code, math, and explanatory text. It features runnable Jupyter notebooks compatible with multiple frameworks (e.g., PyTorch, MXNet, TensorFlow), comprehensive theoretical analysis, and exercises. Widely adopted in over 70 countries and used by more than 500 universities for teaching deep learning. -
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RedtDec
RetDec is a retargetable machine-code decompiler based on LLVM
The decompiler is not limited to any particular target architecture, operating system, or executable file format. ELF, PE, Mach-O, COFF, AR (archive), Intel HEX, and raw machine code supported. 32-bit: Intel x86, ARM, MIPS, PIC32, and PowerPC 64-bit: x86-64 supported. Demangling of symbols from C++ binaries (GCC, MSVC, Borland). Reconstruction of functions, types, and high-level constructs. Output in two high-level languages: C and a Python-like language. Generation of call graphs, control-flow graphs, and various statistics. ... -
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Nerd
Javascript's God Mode. No VM. No Bytecode
Nerd, commonly referred to as “nerd,” is an experimental programming language and toolchain that aims to compile JavaScript-like code directly into native binaries without relying on traditional virtual machines, bytecode interpretation, or garbage collection. Its design philosophy centers on eliminating runtime overhead by translating high-level scripting constructs into efficient, low-level native code that can run directly on hardware. This approach enables significantly improved... -
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Tendermint
Tendermint Core (BFT Consensus) in Go
Tendermint Core is a Byzantine Fault Tolerant (BFT) middleware that takes a state transition machine, written in any programming language, and securely replicates it on many machines. Building the most powerful tools for distributed networks. We are Tendermint, a core contributor to the Cosmos Network. Powerful & secure software for the decentralized future. Tendermint has been in the production of private and public environments, most notably the blockchains of the Cosmos Network. we haven't released v1.0 yet since we are making breaking changes to the protocol and the APIs. ... -
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Top-AI-Conferences-Paper-with-Code
This repository is a collection of AI top conferences papers
...Because academic papers often omit detailed implementation steps due to space limitations, the repository focuses on linking papers with publicly available source code so that experiments can be reproduced and extended. The repository organizes papers by conference and year, providing a structured overview of developments across natural language processing, computer vision, machine learning, and other AI fields. -
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DialoGPT
Large-scale pretraining for dialogue
DialoGPT is an open-source conversational language model developed by Microsoft Research for generating natural dialogue responses using large-scale transformer architectures. The system is built on the GPT-2 architecture and is designed specifically for multi-turn conversation tasks, enabling machines to produce coherent responses during interactive dialogue. The model was trained on a massive dataset of approximately 147 million conversational exchanges extracted from Reddit discussion... -
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pascal-p5
5th version of the Pascal-P compiler
This is the 5th version of the Pascal-P compiler from Zurich. This is the Pascal-P4 compiler modified to be ISO 7185 Pascal compilant, both in the the implementation language, and in the language it processes. Pascal-P was an implementation kit, created between 1972 and 1974, for the original language Pascal. The source for the original compiler was passed around and modified quite a bit, but Niklaus Wirth noted that it was very popular, and represented a good method to popularize the... -
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Byzer-lang
A low-code open-source programming language for data pipeline
Byzer (former MLSQL) is a low-code, open-sourced, and distributed programming language for data pipeline, analytics, and AI in a cloud-native way. Design protocol: Everything is a table. Byzer is a SQL-like language, to simplify data pipeline, analytics, and AI, combined with built-in algorithms and extensions. We believe that everything is a table, a simple and powerful SQL-like language can significantly reduce human efforts of data development without switching different tools. -
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Pattern
Web mining module for Python, with tools for scraping
Pattern is an open-source Python library that provides tools for web mining, natural language processing, machine learning, and network analysis. The project integrates multiple capabilities into a single framework that allows developers to collect, process, and analyze textual data from the web. It includes modules for web scraping and crawling that can retrieve information from sources such as social media platforms, search engines, and online knowledge bases. -
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Inform
The core software distribution for the Inform 7 programming language
Inform is the core distribution of a powerful programming language and design system created for writing interactive fiction, where authors describe stories as text adventure games that players explore through typed commands. The language is distinctive for its natural-language-inspired syntax that reads almost like English, allowing storytellers to define rooms, objects, characters, and narrative logic in an intuitive way that emphasizes expressive clarity and literary structure. ... -
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DeepMind Educational Resources
DeepMind's repo of educational notebooks for learning AI and research
...Specialized notebooks also explore creative AI applications, language modeling, generative models, and protein folding. Each tutorial is designed to be standalone and adaptable for self-study, classroom teaching, or use at summer schools and community workshops. -
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DuranDuranbot
Teachable/trainable artificially intelligent music bot
A teachable/trainable artificially intelligent music bot fundamentally inspired by how the new wave band Duran Duran composes music. This program utilizes many algorithmic/AI techniques/processes, including machine learning; which allow you to teach/train it to compose music which you prefer... and the technique which is the foundation of the design of DuranDuranbot, which was directly inspired by how Duran Duran writes music........ Called, "bit by bit circular composition"....... and it's explanation can be found here - https://scsynth.org/t/bit-by-bit-circular-composition/1107 This program is written in the SuperCollider programming language - https://en.wikipedia.org/wiki/SuperCollider Contact - ken_brant@ymail.com -
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Hacker Scripts
Based on a true story
Hacker Scripts is a cheeky collection of small automation scripts and language ports collected under the tagline “Based on a true story.” The repository gathers playful utilities (originally shell and Ruby scripts) that automate short, real-world tasks — for example, sending a quick “late at work” text when SSH sessions are active, firing off an automated “I’m sick / working from home” email on certain mornings, or even talking to a networked coffee machine to start brewing at precisely the right moment. ... -
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Coqui STT
The deep learning toolkit for speech-to-text
Coqui STT is a fast, open-source, multi-platform, deep-learning toolkit for training and deploying speech-to-text models. Coqui STT is battle-tested in both production and research. Multiple possible transcripts, each with an associated confidence score. Experience the immediacy of script-to-performance. With Coqui text-to-speech, production times go from months to minutes. With Coqui, the post is a pleasure. Effortlessly clone the voices of your talent and have the clone handle the problems... -
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MELO
Machine Executable Language Ontology (MELO)
This project is intended to fill the gap between the semantic web and the mainstream of software engineering, especially to integrate the semantic web with programming languages, and find an ontological representation of programming languages, including abstract syntax code execution, and global interoperability in execution environments. The machine executable language is modelled in OWL 2 DL using OWL API in C++ developed in this project. -
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Lingua
The most accurate natural language detection library for Java
Its task is simple: It tells you which language some provided textual data is written in. This is very useful as a preprocessing step for linguistic data in natural language processing applications such as text classification and spell checking. Other use cases, for instance, might include routing e-mails to the right geographically located customer service department, based on the e-mails' languages. -
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Julia.jl
Curated decibans of Julia programming language
Julia.jl is a curated collection of knowledge resources for the Julia programming language, designed to support high-performance numerical analysis and computational science. The repository aggregates diverse content across domains such as mathematics, physics, data science, optimization, machine learning, and supercomputing. It functions as a structured index, helping developers, researchers, and learners easily find materials to deepen their understanding of Julia’s ecosystem. ... -
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Pegasus5
New OOPs Language
This project is to create a fully working implementation of the Pegasus source language. Pegasus will be implemented in C and will compile to native machine code. It is hoped that the system will be an improvement on Java. The number of members implementing this project will be limited. Once the project is complete we hope to create applications in Pegasus and compile them to run on any platform that supports the C language. -
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LC-3 VM
Write your own virtual machine for the LC-3 computer!
...Just make your edits the .lit file, and we can regenerate it for you. Our VM will simulate a fictional computer called the LC-3. The LC-3 is popular for teaching university students how to program in assembly language. It has a simplified instruction set compared to x86, but contains all the main ideas used in modern CPUs. First, we need to simulate the essential hardware components of the machine. Try to understand what each component is, but don’t worry right now if you are unsure of how it fits into the larger picture. Start by creating a C file. ... -
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X11-Basic
A BASIC interpreter and compiler with graphics.
X11-Basic is a dialect of the BASIC programming language with graphics capability that integrates features like shell scripting, cgi-Programming and full graphical visualisation into the easy to learn basic language on modern computers. -
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Binary Analysis Platform
Binary Analysis Platform
The Carnegie Mellon University Binary Analysis Platform (CMU BAP) is a suite of utilities and libraries that enables analysis of programs in the machine code representation. BAP supports x86, x86-64, ARM, MIPS, PowerPC and new architectures can be added as plugins. BAP includes various analyses, standard interpreter, microexecution interpreter, and symbolic executor. BAP features its own domain-specific language, Primus Lisp, that is used for implementing analyses, specifying verification conditions, modeling functions (writing stubs) and even interfacing with the SMT solver. ... -
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Fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python
Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks. We provide reference implementations of various sequence modeling papers. Recent work by Microsoft and Google has shown that data parallel training can be made significantly more efficient by sharding the model parameters and optimizer state across data parallel workers. These ideas are encapsulated in the... -
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PromptSource
Toolkit for creating, sharing and using natural language prompts
PromptSource is a toolkit for creating, sharing and using natural language prompts. Recent work has shown that large language models exhibit the ability to perform reasonable zero-shot generalization to new tasks. For instance, GPT-3 demonstrated that large language models have strong zero- and few-shot abilities. FLAN and T0 then demonstrated that pre-trained language models fine-tuned in a massively multitask fashion yield even stronger zero-shot performance. A common denominator in these... -
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Flashlight library
A C++ standalone library for machine learning
Flashlight is a fast, flexible machine learning library written entirely in C++ by Facebook AI Research and the creators of Torch, TensorFlow, Eigen, and Deep Speech. Native support in C++ and simple extensibility make Flashlight a powerful research framework that's hackable to its core and enables fast iteration on new experimental setups and algorithms with little unopinionated and without sacrificing performance. In a single repository, Flashlight provides apps for research across...