Search Results for "language learning"
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Showing 21 open source projects for "language learning"
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Learning Interpretability Tool
Interactively analyze ML models to understand their behavior
The Learning Interpretability Tool (LIT, formerly known as the Language Interpretability Tool) is a visual, interactive ML model-understanding tool that supports text, image, and tabular data. It can be run as a standalone server, or inside of notebook environments such as Colab, Jupyter, and Google Cloud Vertex AI notebooks. -
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Read Frog
Open Source Immersive Translate
Read Frog is an open-source browser extension designed to transform everyday web reading into an immersive language learning experience powered by artificial intelligence. The tool integrates translation, contextual explanations, and content analysis directly into the browsing workflow so users can learn languages naturally while reading authentic online content. Instead of forcing learners to switch between translation tools and the original text, the extension displays translations alongside the source language, making comprehension immediate and continuous. ... -
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OpenClaw-RL
Train any agents simply by 'talking'
OpenClaw-RL is an open-source reinforcement learning framework designed to train and personalize AI agents built on the OpenClaw ecosystem. The project focuses on enabling agents to improve their behavior through interactive learning rather than relying solely on static prompts or predefined skills. One of its key ideas is allowing users to train an AI agent simply by interacting with it conversationally, using natural language feedback to guide the learning process. ... -
4
dLLM
dLLM: Simple Diffusion Language Modeling
...The project provides an integrated pipeline that standardizes how diffusion language models are trained, evaluated, and deployed, helping researchers reproduce experiments and compare results more easily. The framework includes scalable training infrastructure inspired by modern deep learning toolkits and supports integrations with widely used libraries for distributed training. -
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MLX Engine
LM Studio Apple MLX engine
MLX Engine is the Apple MLX-based inference backend used by LM Studio to run large language models efficiently on Apple Silicon hardware. Built on top of the mlx-lm and mlx-vlm ecosystems, the engine provides a unified architecture capable of supporting both text-only and multimodal models. Its design focuses on high-performance on-device inference, leveraging Apple’s MLX stack to accelerate computation on M-series chips. The project introduces modular VisionAddOn components that allow image... -
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Resume-Matcher
Improve your resumes with Resume Matcher
Resume-Matcher is a command-line application that compares resumes against job descriptions using natural language processing. It provides a compatibility score based on keyword relevance and highlights areas where the resume aligns—or doesn't—with the target role. Designed for job seekers and HR professionals, it helps improve resume tailoring and streamlines candidate screening. -
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Lobe Icons
Brings AI/LLM brand logos to your React & React Native apps
Lobe Icons is an open-source icon library designed to provide developers with a comprehensive collection of logos and visual assets representing popular artificial intelligence platforms, language models, and related technologies. The project focuses on making it easy for developers to include recognizable AI brand icons in applications such as dashboards, AI tools, documentation sites, or developer portals. The library includes icons for a wide range of AI providers and models, allowing developers to visually represent integrations with tools such as large language models, AI APIs, and machine learning platforms. ... -
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Understand Anything
Turn any codebase into an interactive knowledge graph
Understand-Anything is an AI-driven tool designed to help users deeply understand any topic by generating structured explanations, summaries, and breakdowns. It focuses on transforming complex or unfamiliar subjects into clear, step-by-step explanations that are easier to grasp. The system leverages language models to provide layered insights, allowing users to explore topics at different levels of detail. It is particularly useful for learning, research, and quick comprehension of new concepts across various domains. The project emphasizes accessibility, making advanced knowledge more approachable for a wider audience. It also supports iterative questioning, enabling users to refine their understanding through follow-up queries. -
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GenAIScript
Automatable GenAI Scripting
JavaScript-ish environment with convenient tooling for file ingestion, prompt development, and structured data extraction. A Microsoft tool that generates AI-powered text based on prompts, useful for content creation and automation. -
Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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Generative AI Use Cases (GenU)
Application implementation with business use cases
...The repository is intended to serve as both a learning resource and a starting point for developers who want to deploy generative AI solutions using AWS infrastructure. -
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AWS Toolkit for Visual Studio Code
Local Lambda debug, CodeWhisperer, SAM/CFN syntax, etc.
...It shows a top-level view of your CDK applications that have been synthesized in your workspace. Amazon CodeWhisperer provides inline code suggestions using machine learning and natural language processing on the contents of your current file. Supported languages include Java, Python and Javascript. -
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Letta Code
The memory-first coding agent
...Users can initialize and connect the agent to various models, including popular large language models, and issue commands, refactor code, or ask context-aware questions directly in the terminal, with memory retained across multiple interactions. -
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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... -
14
Ax
Build LLM powered Agents and "Agentic workflows"
...We've renamed from "llmclient" to "ax" to highlight our focus on powering agentic workflows. We agree with many experts like "Andrew Ng" that agentic workflows are the key to unlocking the true power of large language models and what can be achieved with in-context learning. Also, we are big fans of the Stanford DSPy paper, and this library is the result of all of this coming together to build a powerful framework for you to build with. -
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PromptBin
A free guide for learning to create ChatGPT3 Prompts
PromptBin is an open-source prompt engineering resource and lightweight web application designed to help users discover, organize, and reuse effective prompts for large language models like ChatGPT. At its core, the project acts as a curated and structured library of prompts across a wide variety of use cases, including writing, brainstorming, debugging, and coding, making it particularly useful for both beginners and advanced users. The repository is also intended as a foundation for... -
16
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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Open Deep Research
An AI-powered research assistant that performs iterative research
...It is intentionally kept compact, with a codebase under roughly 500 lines, making it highly approachable for experimentation and learning. The architecture demonstrates how modern agent pipelines can continuously gather evidence, extract learnings, and adjust research direction over time. -
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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. -
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OpenPipe
Turn expensive prompts into cheap fine-tuned models
OpenPipe is an open-source platform focused on improving the efficiency and performance of AI systems by transforming expensive prompt-based workflows into optimized, fine-tuned models and reinforcement-trained agents. It provides tools for training language models and agents using real-world feedback, enabling systems to learn from interactions and improve over time rather than relying solely on static prompts. One of its core components, the Agent Reinforcement Trainer, allows developers to train multi-step agents using reinforcement learning techniques such as GRPO, enhancing their ability to perform complex, sequential tasks. ... -
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Kanaries RATH
Next generation of automated data exploratory analysis visualization
RATH is not just an open-source alternative to Data Analysis and Visualization tools such as Tableau, but it automates your Exploratory Data Analysis workflow with an Augmented Analytic engine by discovering patterns, insights, causals and presents those insights with powerful auto-generated multi-dimensional data visualization. -
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AI Code Translator
Use AI to translate code from one language to another
AI Code Translator is a web-based tool that leverages AI to translate source code from one programming language to another, making cross-language porting or code conversion significantly easier — useful when migrating codebases, experimenting across languages, or learning how code patterns map across languages. The UI is built with Next.js + TypeScript, plus modern tooling like Tailwind CSS, giving a clean frontend experience where you paste or upload code, select target language, and get output quickly. ...
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