Search Results for "learn language" - Page 8
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Showing 350 open source projects for "learn language"
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FFmpeg libav tutorial
FFmpeg libav tutorial
FFmpeg libav tutorial, learn how media works from basic to transmuxing, transcoding and more. Most of the code in here will be in C but don't worry: you can easily understand and apply it to your preferred language. FFmpeg libav has lots of bindings for many languages like python, go and even if your language doesn't have it, you can still support it through the ffi (here's an example with Lua). -
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CommAI-env
A platform for developing AI systems
...The environment supports a wide variety of tasks — from simple pattern recognition and string manipulation to compositional language learning and reasoning. -
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GluonNLP
NLP made easy
GluonNLP is a toolkit that helps you solve NLP problems. It provides easy-to-use tools that helps you load the text data, process the text data, and train models. To facilitate both the engineers and researchers, we provide command-line-toolkits for downloading and processing the NLP datasets. Gluon NLP makes it easy to evaluate and train word embeddings. Here are examples to evaluate the pre-trained embeddings included in the Gluon NLP toolkit as well as example scripts for training... -
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Dart
Dart is a client-optimized language for fast apps on any platform
...A programming language optimized for building user interfaces with features such as sound null safety, the spread operator for expanding collections, and collection if for customizing UI for each platform. A programming language that is easy to learn, with a familiar syntax. Make changes to your source code iteratively, using hot reload to instantly see the effect in the running app. -
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PSKoans
A simple, fun, and interactive way to learn the PowerShell language
PSKoans is an interactive, educational PowerShell module that teaches core PowerShell concepts via Pester test-driven “koans” (small exercises that initially fail and must be fixed). Designed for beginners to learn PowerShell through hands‑on problem solving, it guides users through basic syntax, data structures, and automation tasks. -
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Freebasic Beginners Guide
An updated Beginners guide to FreeBASIC
The purpose of this project is to create and update a beginners guide to FreeBASIC. Over the years I have noticed that there was only three real ways to learn FreeBASIC. The FreeBASIC Documentation, the FreeBASIC Community Forum, and A old beginners guide written by Richard D. Clark and Ebben Feagan. Each of these sources are great, but they all assume some experience with a programming language. This Project is taking Richard D. Clark's and Ebben Feagan's "A Beginner's Guide to FreeBasic" and is editing, updating, reorganizing, and simplifying this guide. ... -
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Flutter Example Apps
Basic Flutter apps, for flutter devs
...This repository is frequently starred and forked by developers because it provides a broad, hands-on showcase of how different features of the Flutter framework and Dart language are used in practice. Each example typically links to online resources or videos that walk through how the app was built, making it both a reference collection and a learning tool for beginners and intermediates alike. -
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fastText
Library for fast text classification and representation
FastText is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware. Models can later be reduced in size to even fit on mobile devices. ext classification is a core problem to many applications, like spam detection, sentiment analysis or smart replies. In this tutorial, we describe how to build a text classifier with the fastText tool. -
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LOG HOUSE
Ready to use log management solution for Kubernetes storing data
Ready to use log management solution for Kubernetes storing data in ClickHouse and providing web UI. Ready to use log management solution for Kubernetes. Efficiently store big amounts of your logs (in ClickHouse database), process them using a simple query language and monitor them online through web UI. Easy and quick to deploy in an already functioning Kubernetes cluster. The status is alpha. However, we (Flant) use it in our production Kubernetes deployments since September 2017. Data... -
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Emojicode
World’s only programming language that’s bursting with emojis
...Let’s use that to make programming more fun and accessible. Emojicode is a straightforward language to learn, whatever background you have. Our documentation is known to be excellent and stuffed with walk-through guides and examples. Before you install Emojicode make sure you have a C++ compiler and linker installed. clang++ or g++ are fine, for instance. The Emojicode compiler can only link binaries if such a compiler is available. -
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wtfpython
Exploring and understanding Python through surprising snippets
...I find it a nice way to learn the internals of a programming language, and I believe that you'll find it interesting too! If you're an experienced Python programmer, you can take it as a challenge to get most of them right in the first attempt. You may have already experienced some of them before, and I might be able to revive sweet old memories of yours! -
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Dragonfire
The open-source virtual assistant for Ubuntu based Linux distributions
Dragonfire is the open-source virtual assistant project for Ubuntu-based Linux distributions. Her main objective is to serve as a command and control interface to the helmet user. So that you will be able to give orders just by using your voice commands and your eye movements. That makes the helmet handsfree. We are planning to ship Dragonfire as a preinstalled software package on DragonOS Linux Distribution. DragonOS will be a Linux distribution specially designed for the helmet. It will... -
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IntelliJ Plugins
Open-source plugins included in the distribution of IntelliJ IDEA
...Developers can explore design patterns, sample implementations, and extension points used by real plugins, learn how to build their own, or contribute enhancements and bug fixes. -
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UnsupervisedMT
Phrase-Based & Neural Unsupervised Machine Translation
...Training relies on denoising auto-encoding and back-translation, with on-the-fly, multithreaded generation of synthetic parallel data to continually refresh supervision signals. The project also provides scripts to fetch and preprocess monolingual data, learn BPE codes, and train cross-lingual embeddings that bootstrap unsupervised alignment between languages. Beyond the core EMNLP 2018 setup, the codebase exposes additional, optional capabilities such as multi-language training, language model pretraining with shared parameters, and adversarial training. -
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Unwrap
Learn Swift interactively on your iPhone
Unwrap is a Swift-based macOS application designed to help developers and learners improve their Swift programming skills through interactive challenges and structured lessons. Created as a companion to educational content, it focuses on teaching fundamental and advanced concepts in a hands-on manner. The app presents exercises that require users to write and refine Swift code, reinforcing understanding through practice rather than passive learning. It covers a wide range of topics,... -
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3D Game Shaders for Beginners
A step-by-step guide to implementing SSAO for 3D games
...Below is a collection of shading techniques that will take your game visuals to new heights. I've explained each technique in such a way that you can take what you learn here and apply/port it to whatever stack you use—be it Godot, Unity, Unreal, or something else. For the glue in between the shaders, I've chosen the fabulous Panda3D game engine and the OpenGL Shading Language (GLSL). So if that is your stack, then you'll also get the benefit of learning how to use these shading techniques with Panda3D and OpenGL specifically. -
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NeuroNER
Named-entity recognition using neural networks
Named-entity recognition (NER) aims at identifying entities of interest in the text, such as location, organization and temporal expression. Identified entities can be used in various downstream applications such as patient note de-identification and information extraction systems. They can also be used as features for machine learning systems for other natural language processing tasks. Leverages the state-of-the-art prediction capabilities of neural networks (a.k.a. "deep learning") Is... -
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PySptools
Hyperspectral algorithms for Python
A lightweight hyperspectral imaging library that provides developers with spectral algorithms for the Python programming language. New for v0.14.x: a scikit-learn bridge (alpha and partial). The functions and classes are organized by topics: * abundance maps: FCLS, NNLS, UCLS * classification: AbundanceClassification, NormXCorr, KMeans SAM, SID, SVC * detection: ACE, CEM, GLRT, MatchedFilter, OSP * distance: chebychev, NormXCorr, SAM, SID * endmembers extraction: ATGP, FIPPI, NFINDR, PPI * material count: HfcVd, HySime * noise: Savitzky Golay, MNF, whiten * sigproc: bilateral * sklearn: HyperEstimatorCrossVal, HyperSVC and others * spectro: convex hull quotient, features extraction (tetracorder style), USGS06 lib interface * util: load_ENVI_file, load_ENVI_spec_lib, corr, cov and others The library do an extensive use of the numpy numeric library and can achieve good speed. ... -
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JPPF
The open source grid computing solution
JPPF makes it easy to parallelize computationally intensive tasks and execute them on a Grid. -
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Modern C++ Tutorial
Modern C++ Tutorial: C++11/14/17/20 On the Fly
C++ is a language with a large user base. From the emergence of C++98 to the official finalization of C++11, it has experienced more than ten years of accumulation. C++14/17 is an important supplement and optimization to C++11, and C++20 brings this language into the door of modernization. All the expanded features in these new standards give C++ the language Infused with new vitality. Those C++ programmers who still insist on using traditional C++ (this book refers to C++98 and the previous... -
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SLING
A natural language frame semantics parser
The aim of the SLING project is to learn to read and understand Wikipedia articles in many languages for the purpose of knowledge base completion, e.g. adding facts mentioned in Wikipedia (and other sources) to the Wikidata knowledge base. We use frame semantics as a common representation for both knowledge representation and document annotation. The SLING parser can be trained to produce frame semantic representations of text directly without any explicit intervening linguistic... -
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Learn Sindhi 2017
Learn Sindhi 2017 is Language Learning Project For Sindhi Language
Learn Sindhi 2017 is porject of Sindhi Language Learning by Sindhi Language Authority-Hyderabad Sindh, in this software Sindhi Language is taught in Urdu English and Roman Script from basics to Advanced Grammer of Sindhi Language including Pictures, animations and sound with amazing Exercises Developed ByL Fahad Hussain Memon, Anees Kaka Cource Designed by Dr. -
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Keras resources
Directory of tutorials and open-source code repositories
Keras resources is a curated directory of tutorials, projects, and educational materials designed to help developers learn and work effectively with the Keras deep learning library. It aggregates a wide range of resources, including beginner guides, advanced tutorials, code examples, and third-party tools, all organized into a single reference hub. The repository covers diverse topics such as image classification, natural language processing, reinforcement learning, and generative models, providing both theoretical and practical insights. ... -
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Smartparens
Minor mode for Emacs that deals with parens pairs
Smartparens is a minor mode for dealing with pairs in Emacs. We generally target GNU Emacs version 24.3 and newer, however, everything should work mostly fine on anything newer than version 24. You can install smartparens from MELPA. Once installed, enable the default configuration. You may want to try smartparens-strict-mode. This enforces that pairs are always balanced, so commands like kill-line keep your code well-formed. Inside Emacs, M-x sp-cheat-sheet will show you all the commands... -
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Write a hash table in C
Learn how to write a hash table in C
Hash tables are one of the most useful data structures. Their quick and scalable insert, search and delete make them relevant to a large number of computer science problems. 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...
