Search Results for "language learning" - Page 15
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Showing 934 open source projects for "language learning"
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Gen.jl
A general-purpose probabilistic programming system
An open-source stack for generative modeling and probabilistic inference. Gen’s inference library gives users building blocks for writing efficient probabilistic inference algorithms that are tailored to their models, while automating the tricky math and the low-level implementation details. Gen helps users write hybrid algorithms that combine neural networks, variational inference, sequential Monte Carlo samplers, and Markov chain Monte Carlo. Gen features an easy-to-use modeling language... -
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ModelingToolkit.jl
Modeling framework for automatically parallelized scientific ML
ModelingToolkit.jl is a modeling language for high-performance symbolic-numeric computation in scientific computing and scientific machine learning. It then mixes ideas from symbolic computational algebra systems with causal and acausal equation-based modeling frameworks to give an extendable and parallel modeling system. It allows for users to give a high-level description of a model for symbolic preprocessing to analyze and enhance the model. -
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LLM From Scratch
Build and train a GPT-style language model
...Inspired by Andrej Karpathy’s nanoGPT, the project emphasizes learning through direct implementation and experimentation rather than black-box usage. The workshop documentation explains concepts such as self-attention, embeddings, gradient clipping, optimizer scheduling, and decoding strategies in a practical and approachable way. -
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ShoppingAgent
Custom Chinese chatbot with Seq2Seq, GPT, and agent features
...It provides multiple implementations of chatbot architectures, including traditional Seq2Seq models as well as newer GPT-style approaches, reflecting the evolution of conversational AI techniques. ShoppingAgent is structured to support experimentation across different deep learning frameworks such as TensorFlow, PyTorch, and MindSpore, giving developers flexibility in how they train and deploy models. In addition to core chatbot functionality, the project introduces agent-based capabilities, enabling practical use cases like automated workflows and task-oriented assistants. It also includes support for small language models and local training scripts, making it accessible for users with limited computational resources. ... -
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Claude-Mem
Claude Code plugin that automatically captures everything Claude does
Claude-Mem is a persistent memory compression system built specifically for Claude Code to preserve context across coding sessions. It automatically captures Claude’s tool usage, observations, and decisions, then compresses them into semantic memories that carry forward into future sessions. By enabling long-term continuity, Claude-Mem helps Claude “remember” project history, past fixes, and prior reasoning even after restarts or reconnects. Its progressive disclosure approach intelligently... -
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Rust Training Books
Beginner, advanced, expert level Rust training material
Rust Training Books is a comprehensive educational repository created to teach developers the Rust programming language through structured lessons, exercises, and practical examples. It is designed to guide learners from basic concepts such as ownership and borrowing to more advanced topics like concurrency, performance optimization, and system-level programming. The material emphasizes hands-on learning, encouraging users to actively write and experiment with code rather than passively reading documentation. ... -
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ZML
Any model. Any hardware. Zero compromise
...One of its key strengths is cross-compilation, enabling developers to build once and deploy across various platforms without rewriting code. zml provides example implementations of models and workflows, demonstrating how to run inference tasks such as image classification or large language models. It is designed to handle complex distributed setups, including scenarios where model components are split across devices connected via networks. -
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Docker-Zero-to-Hero
Repo to learn Docker with examples
Docker-Zero-to-Hero is a teaching repository focused on learning Docker via explanations and concrete examples rather than just a dry reference. It starts by explaining what containers are in plain language, then compares containers vs virtual machines in terms of resource utilization, portability, security, and management. The README and supporting markdown files (commands.md, networking.md, volumes.md) walk through core Docker concepts like images, containers, networking, and persistent storage. ... -
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CoreNet
CoreNet: A library for training deep neural networks
CoreNet is Apple’s internal deep learning framework for distributed neural network training, designed for high scalability, low-latency communication, and strong hardware efficiency. It focuses on enabling large-scale model training across clusters of GPUs and accelerators by optimizing data flow and parallelism strategies. CoreNet provides abstractions for data, tensor, and pipeline parallelism, allowing models to scale without code duplication or heavy manual configuration. -
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DIO Lab
Repository for "Contributing to an Open Source Project on GitHub" lab
...While Markdown is used for documentation and presentation, the course encourages students to complement it with proper debugging tools and language-specific development practices. Overall, this project functions as a stepping stone for beginners aiming to build confidence and competence in the real-world. -
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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). -
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wego
Weather app for the terminal
wego is a weather client for the terminal. Config file for default location which can be overridden by commandline. Automatic config management with ingo. A working Go 1.5 environment (You can use goenv if your distribution does not support Go 1.5 yet). utf-8 terminal with 256 colors. A sane monospaced font containing all the required runes (I use dejavu sans mono). An API key for the backend. You can create an account and get a free API key by signing up. You can set the $WEGORC environment... -
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Writer Framework
No-code in the front, Python in the back. An open-source framework
...It follows a hybrid approach where user interfaces are created using a drag-and-drop editor while business logic is implemented in Python, allowing teams to balance speed and flexibility without sacrificing control. The framework is particularly focused on AI use cases, enabling developers to integrate large language models, knowledge graphs, and custom machine learning workflows into user-facing applications. Its architecture enforces a clear separation of concerns between frontend and backend, which improves maintainability and scalability as applications grow in complexity. The system is designed to support rapid prototyping, enabling developers to iterate on UI and backend logic independently and deploy changes quickly. -
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Sigma's Web Development Course
Source Code for Sigma Web Development Course
...Later examples also explore modern application concepts such as Next.js routing, authentication, middleware, layouts, and server features. The repository emphasizes practical implementation and real-world projects alongside progressive lesson-based learning. -
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trench
Open-Source Analytics Infrastructure
Trench is an open-source analytics infrastructure designed for tracking events and performing real-time analysis of application data at scale. The system is built on top of high-performance data technologies including Apache Kafka and ClickHouse, which allows it to ingest and process very large volumes of events while maintaining fast query performance. It was originally developed to solve scaling challenges in product analytics systems where traditional relational databases become... -
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PaSa
An advanced paper search agent powered by large language models
...Given a complex scholarly question (for example, “Which works focus on non-stationary reinforcement learning with UCB-based value methods?”), PaSa decomposes the task: the Crawler generates search queries, retrieves candidate papers (via search tools and citation expansion), then adds them to a “paper queue.” The Selector then reads abstracts or full text (depending on what’s available) and decides which papers are relevant. -
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Hello Python
Comprehensive tutorial repository aimed at teaching the Python program
Hello-Python is a comprehensive tutorial repository aimed at teaching the Python programming language from scratch for beginners. It includes over 100 classes and about 44 hours of video instruction, combined with code samples, projects, and a chat community for support. The material covers the fundamentals—variables, data types, loops, functions—as well as intermediate topics like date handling, list comprehensions, file IO, regular expressions, modules, and packages. The course is designed... -
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The Alignment Handbook
Robust recipes to align language models with human and AI preferences
The Alignment Handbook is an open-source resource created to provide practical guidance for aligning large language models with human preferences and safety requirements. The project focuses on the post-training stage of model development, where models are refined after pre-training to behave more helpfully, safely, and reliably in real-world applications. It provides detailed training recipes that explain how to perform tasks such as supervised fine-tuning, preference modeling, and reinforcement learning from human feedback. ... -
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GenAI Agents
Implementations for various Generative AI Agent techniques
GenAI Agents is a large, tutorial-driven repository that teaches you how to design, build, and experiment with generative AI agents. It spans a spectrum from simple conversational bots and basic question-answering agents to complex multi-agent systems that coordinate on research, education, business workflows, and creative tasks. The implementations leverage modern frameworks such as LangChain, LangGraph, AutoGen, PydanticAI, CrewAI, and more, showing how each can be wired into realistic... -
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MuJoCo
Multi-Joint dynamics with Contact. A general purpose physics simulator
MuJoCo, developed and maintained by Google DeepMind, is a high-performance physics engine designed for simulating complex, articulated systems that interact through contact. It is widely used in research fields such as robotics, biomechanics, computer graphics, animation, and machine learning, where fast and accurate physics simulations are essential. The engine provides a robust C API optimized for real-time computation, making it suitable for scientific research and advanced simulation... -
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SciML Style Guide for Julia
A style guide for stylish Julia developers
The SciML Style Guide is a style guide for the Julia programming language. It is used by the SciML Open Source Scientific Machine Learning Organization. As such, it is open to discussion with the community. If the standard for code contributions is that every PR needs to support every possible input type that anyone can think of, the barrier would be too high for newcomers. Instead, the principle is to be as correct as possible to begin with, and grow the generic support over time. ... -
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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... -
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Halo
Framework built by White Circle for training large language
Halo is an open-source training framework for large language and multimodal models, designed to scale from a single GPU to multi-node clusters. It supports pretraining, supervised fine-tuning, preference optimization, distillation, and fully asynchronous multi-turn reinforcement learning. The framework trains Hugging Face models directly, so checkpoints remain compatible with standard from_pretrained workflows. -
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Go Katas
A collection of daily coding challenges
Go Katas is a curated collection of practice exercises and coding challenges specifically crafted to improve proficiency in Go, including idiomatic patterns, language fundamentals, and algorithm design. It mirrors the kata practice tradition from martial arts—repetitive, thoughtful practice where each exercise reinforces technique, discipline, and problem-solving approach. Each kata prompt focuses on a precise aspect of Go, such as concurrency patterns, memory management, interfaces, error... -
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Pot Desktop
A cross-platform software for text translation and recognition
...The tool supports external plugin extensions, which means its functionality can be expanded far beyond the built-in options: you can add translation engines, OCR backends, TTS engines, vocabulary export (e.g. for language learning), and more. Pot-Desktop works on Windows, macOS, and Linux (including Wayland environments), and offers convenient installers or package-manager installation methods (e.g. via brew or .deb, etc.), so it’s accessible for users on all major desktop OSes.
