Search Results for "learning language" - Page 17
Sort By:
Showing 875 open source projects for "learning language"
View related business solutions-
Forever Free Full-Stack Observability | 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.
-
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.
-
1
Google Research
This repository contains code released by Google Research
Google Research is a massive monorepo that hosts a wide range of research code released by Google Research teams across machine learning, artificial intelligence, robotics, natural language processing, and other advanced domains. Rather than being a single framework, the repository serves as a centralized collection of experimental projects, reference implementations, and reproducible research artifacts. It is intended primarily for researchers and advanced practitioners who want to explore cutting-edge techniques directly from the teams that developed them. ... -
2
Docker Curriculum
A comprehensive tutorial on getting started with Docker
Docker Curriculum is a hands-on tutorial that teaches Docker from first principles to practical deployment through a sequence of guided exercises. It starts with images and containers, then layers on volumes, networks, and multi-container composition so learners grasp how pieces fit together. The material emphasizes doing over reading: you build images, run services, and push to registries as you go, reinforcing concepts with real commands. It also connects Docker to everyday developer... -
3
TIL
Today I Learned
...Over years, it becomes both a reference and a record of the author’s learning journey, with the git history revealing how practices evolved. -
4
Uncertainty Baselines
High-quality implementations of standard and SOTA methods
Uncertainty Baselines is a collection of strong, well-documented training pipelines that make it straightforward to evaluate predictive uncertainty in modern machine learning models. Rather than offering toy scripts, it provides end-to-end recipes—data input, model architectures, training loops, evaluation metrics, and logging—so results are comparable across runs and research groups. The library spans canonical modalities and tasks, from image classification and NLP to tabular problems,... -
Gemini 3 and 200+ AI Models on One PlatformBuild, govern, and optimize agents and models with Gemini Enterprise Agent Platform.
-
5
Swift Numerics
Advanced mathematical types and functions for Swift
Swift Numerics is a foundational library that extends the Swift standard library with essential numerical protocols, types, and functions needed for scientific and systems programming. It defines generic abstractions over real and complex numbers so algorithms can be written once and work across concrete floating-point types. The package includes RealModule utilities and a full Complex type with the expected arithmetic and transcendental functions, bridging a long-standing gap for numerics... -
6
PHP: The Right Way
An easy-to-read, quick reference for PHP best practices
...Regular updates ensure that the content reflects the evolving state of the PHP language and industry standards, making it one of the most trusted educational references for PHP developers. -
7
ChatCraft.org
Developer-oriented ChatGPT clone
Welcome to ChatCraft.org, your open-source web companion for coding with Large Language Models (LLMs). Designed with developers in mind, ChatCraft transforms the way you interact with GPT models, making it effortless to read, write, debug, and enhance your code. Whether you're exploring new designs or learning about the latest technologies, ChatCraft is your go-to platform. With a user interface inspired by GitHub, and editable Markdown everywhere, you'll feel right at home from the get-go. -
8
Hakaton Starter
A boilerplate for Node.js web applications
...I also tried to make it as generic and reusable as possible to cover most use cases of hackathon web apps, without being too specific. In the worst case, you can use this as a learning guide for your projects, if for example you are only interested in Sign in with Google authentication and nothing else. -
9
PureScript
A strongly-typed language that compiles to JavaScript
Compile to readable JavaScript and reuse existing JavaScript code easily. An extensive collection of libraries for development of web applications, web servers, apps and more. Excellent tooling and editor support with instant rebuilds. An active community with many learning resources. Build real-world applications using functional techniques and expressive types, such as: Algebraic data types and pattern matching. Row polymorphism and extensible records. Higher kinded types and type classes... -
Streamline Azure Security with Palo Alto Networks VM-SeriesImprove your security posture and reduce incident response time. Use the VM-Series to natively analyze Azure traffic and dynamically drive policy updates based on workload changes.
-
10
Ling-V2
Ling-V2 is a MoE LLM provided and open-sourced by InclusionAI
...Trained on more than 20 trillion tokens of high-quality data and enhanced through multi-stage supervised fine-tuning and reinforcement learning, Ling-V2’s models demonstrate strong general reasoning, mathematical problem-solving, coding understanding, and knowledge-intensive task performance. -
11
JSCamp InfoJobs
Content and exercises fromJSCamp InfoJobs
JSCamp InfoJobs is the companion repository for JSCamp InfoJobs, an intensive full-stack JavaScript bootcamp in Spanish designed to take students from fundamentals to advanced topics. It is organized into numbered modules like 00-html-css, 01-javascript, 02-react, 03-router-and-zustand, 04-node, 05-typescript, 06-inteligencia-artificial, 07-sql, 08-ci-cd, and 09-docker, mirroring the curriculum of the bootcamp.The README explains that students will build a complete project step by step... -
12
Flax
Flax is a neural network library for JAX
...Flax emphasizes composability: optimizers, training loops, and checkpointing are provided as examples or utilities rather than monolithic frameworks, encouraging research-friendly customization. The library is widely used in vision, language, and reinforcement learning, often serving as a thin layer atop NumPy-like JAX primitives. Tutorials and examples show patterns for multi-host training, mixed precision, and advanced input pipelines that scale from laptops to TPUs. -
13
fairseq2
FAIR Sequence Modeling Toolkit 2
fairseq2 is a modern, modular sequence modeling framework developed by Meta AI Research as a complete redesign of the original fairseq library. Built from the ground up for scalability, composability, and research flexibility, fairseq2 supports a broad range of language, speech, and multimodal content generation tasks, including instruction fine-tuning, reinforcement learning from human feedback (RLHF), and large-scale multilingual modeling. Unlike the original fairseq—which evolved into a large, monolithic codebase—fairseq2 introduces a clean, plugin-oriented architecture designed for long-term maintainability and rapid experimentation. ... -
14
Elixir Code Smells
Catalog of Elixir-specific code smells
Elixir-Code-Smells is a research-driven catalog of code smells specific to the Elixir programming language. Unlike generic code smell lists, this project identifies issues emerging from Elixir’s functional, concurrent, and process-based nature. Initially compiled via grey literature (blogs, talks, forums), the catalog now includes 23 Elixir-specific smells plus 12 traditional smells adapted to Elixir. Each entry documents the name, category, problem, example, refactoring strategy, and... -
15
Ant Design Pro
Out-of-box UI solution for enterprise applications
...If you are a pure novice, it is recommended to read Beginner's Need to know. Sharpen the knife and chop wood by mistake. Knowing some basic knowledge can make the learning curve smoother. Create umi offers a wide range of options to meet the scaffolding needs of different users, and we can choose to develop the language JavaScript or TypeScript. -
16
Poetiq
Reproduction of Poetiq's record-breaking submission to the ARC-AGI-1
poetiq-arc-agi-solver is the open-source codebase from Poetiq that replicates their record-breaking submission to the challenging benchmark suite ARC-AGI (both ARC-AGI-1 and ARC-AGI-2). The project demonstrates a system that orchestrates large language models (LLMs) — like those from major providers — with carefully engineered prompting, reasoning workflows, and dynamic strategies, to tackle the abstract, logic-heavy problems in ARC-AGI. Instead of relying on a single prompt or fixed... -
17
ESPnet
End-to-end speech processing toolkit
ESPnet is a comprehensive end-to-end speech processing toolkit covering a wide spectrum of tasks, including automatic speech recognition (ASR), text-to-speech (TTS), speech translation (ST), speech enhancement, speaker diarization, and spoken language understanding. It uses PyTorch as its deep learning engine and adopts a Kaldi-style data processing pipeline for features, data formats, and experimental recipes. This combination allows researchers to leverage modern neural architectures while still benefiting from the robust data preparation practices developed in the speech community. ... -
18
Large Concept Model
Language modeling in a sentence representation space
Large Concept Model is a research codebase centered on concept-centric representation learning at scale, aiming to capture shared structure across many categories and modalities. It organizes training around concepts (rather than just raw labels), encouraging models to understand attributes, relations, and compositional structure that transfer across tasks. The repository provides training loops, data tooling, and evaluation routines to learn and probe these concept embeddings, typically... -
19
Catalyst.jl
Chemical reaction network and systems biology interface
...Generated models can be used with solvers throughout the broader SciML ecosystem, including higher-level SciML packages (e.g. for sensitivity analysis, parameter estimation, machine learning applications, etc). -
20
Dotty
The scala 3 compiler, also known as Dotty
...For example, the feature of implicits has been used to model contextual abstraction, to express type-level computation, model type-classes, perform implicit coercions, encode extension methods, and many more. Learning from these use cases, Scala 3 takes a slightly different approach and focuses on intent rather than mechanism. -
21
macroquad
Cross-platform game engine in Rust
macroquad is a lightweight, easy-to-use game library for the Rust programming language, offering developers a relatively simple and streamlined path to build games across platforms. The library is heavily inspired by simpler game frameworks (like raylib), but brings the ergonomic and safety features of Rust to 2D — and some minimal 3D — development. With Macroquad, you don’t need to worry about low-level graphics plumbing: it handles window and input management, rendering, UI, and more,... -
22
MudBlazor
Do more with Blazor, utilizing CSS and keeping Javascript to a minimum
Trusted by thousands of users, from hobby developers to large enterprises. Use MudBlazor to rapidly build amazing web applications without leaving your loved C# language and toolchain. We bring together everything that's required to build amazing Blazor applications that scale from desktop to mobile. Apart from the library itself we also provide templates, a learning platform, theme manager, demo and example projects as well as an online code editor integrated with our documentation and issue tracking. ... -
23
torchtext
Data loaders and abstractions for text and NLP
We recommend Anaconda as a Python package management system. Please refer to pytorch.org for the details of PyTorch installation. LTS versions are distributed through a different channel than the other versioned releases. Alternatively, you might want to use the Moses tokenizer port in SacreMoses (split from NLTK). You have to install SacreMoses. To build torchtext from source, you need git, CMake and C++11 compiler such as g++. When building from source, make sure that you have the same C++... -
24
minbpe
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm
minbpe is a minimal, clean implementation of byte-level Byte Pair Encoding (BPE), the tokenization approach widely used in modern language models. It operates on UTF-8 encoded bytes rather than Unicode characters, which makes it robust to arbitrary text inputs and avoids needing a language-specific character vocabulary. The repository is structured as a teaching-oriented implementation that shows how to train a tokenizer by learning merge rules, then apply those merges to encode text into token IDs and decode tokens back into text. ... -
25
GoNB
GoNB, a Go Notebook Kernel for Jupyter
Go is a compiled language, but with very fast compilation, that allows one to use it in a REPL (Read-Eval-Print-Loop) fashion, by inserting a "Compile" step in the middle of the loop -- so it's a Read-Compile-Run-Print-Loop — while still feeling very interactive. GoNB leverages that compilation speed to implement a full-featured (at least it's getting there) Jupyter notebook kernel.
