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Handy is a free, open-source, extensible speech-to-text desktop application that works completely offline on Windows, macOS, and Linux. It leverages local AI models like Whisper and Parakeet V3 for privacy-focused transcription, allowing users to press a shortcut, speak, and paste text directly into any app without sending audio to the cloud. Key features include GPU acceleration, automatic language detection, and high extensibility for developers.

JAX is a high-performance Python library that brings just-in-time compilation, automatic differentiation and easy parallelism to NumPy-style array programming.

NVIDIA TensorRT is an SDK and tool-suite that compiles and optimizes trained neural-network models for ultra-fast, low-latency inference on NVIDIA GPUs.

ONNX (Open Neural Network Exchange) is an open ecosystem that provides an open source format for AI models, including deep learning and traditional ML. It defines an extensible computation graph model, built-in operators, and standard data types, focusing on inferencing capabilities. Widely supported across frameworks and hardware, it enables interoperability and accelerates AI innovation.

Streamlit is an open-source app framework that turns Python scripts into shareable web apps in minutes. It enables data scientists and AI/ML engineers to build interactive data apps like dashboards, reports, or chat apps using pure Python, without front-end experience.

PaddleOCR is an industry-leading, production-ready OCR and document AI engine developed by the PaddlePaddle team. It supports over 100 languages and converts PDFs or image documents into structured AI-friendly data (e.g., JSON and Markdown), bridging the gap between images/PDFs and LLMs. Key features include multilingual support, high accuracy, handwriting recognition, and advanced document parsing for elements like tables, formulas, and charts, with end-to-end tools for training, inference, and deployment.

Open-source deep-learning optimisation library from Microsoft that scales PyTorch training and inference to trillions of parameters with maximum efficiency.

ML for Beginners is a free, open-source curriculum developed by Microsoft, spanning 12 weeks with 26 lessons and 52 quizzes, focusing on classic machine learning using primarily Scikit-learn, avoiding deep learning. It uses a project-based approach with global cultural themes to explore topics like regression, classification, clustering, NLP, and time series forecasting.

LocalAI is a free, Open Source OpenAI alternative. It acts as a drop-in replacement REST API that's compatible with OpenAI API specifications for local AI inferencing. It allows you to run LLMs, generate images, audio, and more locally or on-prem with consumer-grade hardware, supporting multiple model families without requiring a GPU.

NotebookLM is an AI-powered research and note-taking tool developed by Google, utilizing Gemini models to analyze user-uploaded sources like documents, websites, and videos, generating summaries, insights, and audio overviews while prioritizing privacy.

The Claude Cookbooks is a GitHub repository by Anthropic featuring a collection of notebooks and recipes that demonstrate fun and effective ways to use the Claude AI model. It offers copy-paste Python code snippets for developers to integrate into projects, covering topics like classification, retrieval-augmented generation, tool use, third-party integrations, multimodal capabilities, and advanced techniques.

PAL MCP Server is an open-source Model Context Protocol (MCP) server developed by BeehiveInnovations. It enables integration of multiple AI models (e.g., Gemini, OpenAI, Anthropic, Grok, Ollama) into a unified context, supporting tools like Claude Code, Gemini CLI, and Codex CLI for collaborative workflows. It enhances code analysis, problem-solving, and development by allowing multi-model conversations with seamless context continuity, bypassing single-model limitations.