Search Results for "machine language"
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Showing 34 open source projects for "machine language"
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1
ML for Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
ML-For-Beginners is a structured, project-driven curriculum that teaches foundational machine learning concepts with approachable math and lots of code. Organized as a multi-week course, it mixes short lectures with labs in notebooks so learners practice regression, classification, clustering, and recommendation techniques on real datasets. Each lesson aims to connect the algorithm to a relatable scenario, reinforcing intuition before diving into parameters, metrics, and trade-offs. The... -
2
Fanyi
A 🇨🇳 and 🇺🇸 translate tool in your command line
Fanyi is a tool for translating words between the Chinese and English languages, right in your command line. It’s a good supportive tool for learning and reading the Chinese language from English, or the other way around. All translation data is fetched from iciba.com and fanyi.youdao.com, and with each translation comprehensive and related samples are given for better understanding and proper usage. There are translations for words as well as sentences, and in Mac/Linux bash, words can even... -
3
Roadmap To Learn Generative AI In 2025
Basic Machine Learning Natural Language Processing Roadmap
Roadmap To Learn Generative AI In 2025 is a curated learning path focused on contemporary generative AI — covering large language models (LLMs), diffusion-based image generation, prompt engineering, multi-modal AI, fine-tuning techniques, and the practical considerations for deploying generative models. It’s aimed at learners and developers who already have some programming or ML basics and wish to specialize in generative AI, offering a modern, structured plan that reflects the state of the... -
4
aie-book
Resources for AI engineers
aie-book is an open-source companion repository that supports a comprehensive guide to building real-world applications with modern AI systems, particularly those based on foundation models. It focuses on bridging the gap between theoretical machine learning knowledge and practical engineering workflows required to deploy AI systems in production. The material emphasizes system design, data pipelines, evaluation strategies, and deployment considerations rather than just model training. It explores how to work with large language models, retrieval systems, and agent-based architectures, providing a practical perspective on how AI is actually used in industry. ... -
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.
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Companion notebooks for Deep Learning
Jupyter notebooks for the code samples of the book
Companion notebooks for Deep Learning is a collection of Jupyter notebooks that accompany François Chollet’s deep learning curriculum, providing hands-on implementations of key concepts using practical examples. The project covers a wide range of topics, including neural networks, computer vision, natural language processing, and sequence modeling. Each notebook is structured to combine theoretical explanations with executable code, allowing users to experiment and learn interactively. The... -
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The Grand Complete Data Science Guide
Data Science Guide With Videos And Materials
The Grand Complete Data Science Materials is a repository curated by a data-science educator that aggregates a wide range of learning resources — from basic programming and math foundation to advanced topics in machine learning, deep learning, natural language processing, computer vision, and deployment practices — into a structured, centralized collection aimed at learners seeking a comprehensive path to data science mastery. The repository bundles tutorials, lecture notes, project outlines, course materials, and references across topics like Python, statistics, ML algorithms, deep learning, NLP, data preprocessing, model evaluation, and real-world problem solving. ... -
7
Fuzzy machine learning framework
A library and a GUI front-end for fuzzy machine learning
Fuzzy machine learning framework is a library and a GUI front-end for machine learning using intuitionistic fuzzy data. The approach is based on the intuitionistic fuzzy sets and the possibility theory. Further characteristics are fuzzy features and classes; numeric, enumeration features and features based on linguistic variables; user-defined features; derived and evaluated features; classifiers as features for building hierarchical systems; automatic refinement in case of dependent features; incremental learning; fuzzy control language support; object-oriented software design with extensible objects and automatic garbage collection; generic data base support through ODBC or SQLite; text I/O and HTML output; an advanced graphical user interface based on GTK+; and examples of use. -
8
Programming Without Coding Technology
Create software using visual programming
PWCT is not a Wizard for creating your application in 1 2 3 steps. PWCT is a general-purpose visual programming language designed for novice and expert programmers. A novice programmer can use PWCT to learn programming concepts like Data Structures, Control Structures and Programming Paradigms. An expert programmer can use PWCT to create any large and complex software. Using PWCT we developed a textual programming language Compiler and Virtual Machine without writing a single line of code where the programming process done using the PWCT visual components. ... -
9
GrammarChecker
Grammar checker for any text field via keyboard shortcut using LLM
GrammarChecker is a utility for instant grammar correction in any text field via keyboard shortcut, powered by Large Language Models (LLM). Grammar Checker utilizes the OpenAI API, supporting both OpenAI and Google Gemini models (It is possible to add other custom models via config), and requires an API key to function. Simply select the text you want to check and trigger the assigned shortcut. Grammar Checker can be automatically launched on startup and run in the system tray. The main... -
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10
XBNF Neurotranslator compiler
(X)BNF simple and clever translation grammar compiler
XBNF Neurotranslator is a powerfull extended BNF grammar language to handle translations easily and many features to handle different kind of situations. This project is for common arch binaries, C++ sources, tests & support tickets. No installation, juste get binary for your architecture : > See [Files] > binary.{version} Library of smart samples of grammars> https://sourceforge.net/projects/xbnf/ Docker image which embeds the Linux/64bits binary and the... -
11
Tria Sistema Operatiu
Helps you find, download & burn the best Operating System for any PC
Tria O.S. detects hard & soft specs of the PC where you run it, you can load this info or specify it manually to let the program inform you what would be the best operating system for a specific PC, with the specified hardware, and then see the difference by adding RAM, a SSD hard drive, changing the graphics card ... etc. REQUIREMENTS: For Linux, you need GAMBAS 3.3 or later, so you will have to install the gambas3 package before installing. 90's EDITION needs 160 MB (192 MB on... -
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Project Based Learning
Curated list of project-based tutorials
project-based-learning is a community-curated open source repository that compiles programming tutorials focused on building real-world applications from scratch. It organizes resources by programming languages such as Python, Java, JavaScript, C++, Go, Rust, and many others. Each tutorial emphasizes practical, hands-on learning through project development rather than theoretical study. The collection spans various domains including web development, game programming, systems programming, and... -
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YAppaRi Seyali
YAppaRi Seyali is a Tamil Prosidy Analyzer
யாப்பறி செயலி This is a java interfaced UI for the Tamil Prosidy Analyzer It is in Beta version and expected to have some bugs. -
14
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. -
15
Machine Learning PyTorch Scikit-Learn
Code Repository for Machine Learning with PyTorch and Scikit-Learn
...For those who are interested in knowing what this book covers in general, I’d describe it as a comprehensive resource on the fundamental concepts of machine learning and deep learning. The first half of the book introduces readers to machine learning using scikit-learn, the defacto approach for working with tabular datasets. Then, the second half of this book focuses on deep learning, including applications to natural language processing and computer vision. -
16
Stats With Julia Book
Collection of runnable Julia code examples for a statistics book
StatsWithJuliaBook is the companion code repository for the book Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence. It contains over 200 code blocks that correspond to the book’s ten chapters and three appendices, covering topics from probability theory and data summarization to regression analysis, hypothesis testing, and machine learning basics. The repository is designed for Julia users and provides ready-to-run examples that reinforce... -
17
imeight
The imaginary eight-bit machine
Try-it page: https://imeight.sourceforge.io/ (development environment, which is not mobile friendly) An HTML5 emulator of a machine that never existed. The emulator brings back memories from the 1980s, offers graphical features like sprites, character generator, 16-color palette. One goal is to create a framework for making games with 8-bit look and feel, including the process of programming. The programming tutorial helps beginners enter the world of programming in a gamified way. -
18
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. ... -
19
BookPart2
Interpreter Code for Book Part 2
Source code for the book "Writing an Interpreter for Object Pascal: Part 2 This is the second part of a series that will show you how to write an interactive interpreter in Object Pascal. Part 2 describes the building of the first version of a virtual machine together with a simple assembler. The book combines the virtual machine with the syntax checker for the Rhodus language. Intermediate code is generated directly as the source code is parsed. At the end of Part II, the reader will be a very serviceable interpreter that supports user-defined functions, built-in functions, string, and list support together with a range of looping constructs. ... -
20
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). -
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Computer Science Books
Computer Science Books Computer Technology Books PDF
The books in this warehouse come from the Internet, and the copyright belongs to the original author. It is not for profit, but only for learning and use. If there is any infringement, please contact us. -
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Deep Learning
Deep Learning Book Chinese Translation
With the help and proofreading of many netizens, the Chinese version was finally published. Although there are still many problems, at least 90% of the content is readable and accurate. We have preserved the meaning of the original book Deep Learning as much as possible and retained the original language of the book. However, our level is limited, and we cannot eliminate the variance of many readers. We still need everyone's advice and help to reduce translation bias together. All you have... -
23
Write a hash table in C
Learn how to write a hash table in C
...Understanding of how a fundamental data structure works under the hood. Deeper knowledge of when to use hash tables, when not to use them, and how they can fail. Exposure to new C code. The language doesn't come with one included. It is a low-level language, so you get deeper exposure to how things work at a machine level. The full implementation is around 200 lines of code, and should take around an hour or two to work through. This tutorial assumes some familiarity with programming and C syntax. The code itself is relatively straightforward, and most issues should be solvable with a web search. ... -
24
turing machine simulation
turing machine simulation with gui
A turing machine simulation. With infinite tape, and finite states of instructions, finite symbols language. Full operational, complete. Coded with reference to http://en.wikipedia.org/wiki/Turing_machine. Have fun! -
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AILOKS
A polylingual dictionary/ontology system
AILOKS is an acronym for Artificial Intelligence Linguistic Object Knowledge System. This dictionary is aimed to facilitate advanced NLP, translation engines and provide an effective dictionary interface to humans. This dictionary is Polylingual and should prove useful to language students, linguists and translators alike. It is part of a series of interrelated projects.
