Projects sharing features with ChatGPT Python Applications

This is a machine learning educational repository consisting of a collection of notebooks and code examples. It provides practical implementations of diverse machine learning algorithms and workflows, ranging from traditional scientific computing to deep learning. The project features specific implementations of Scikit-Learn models, such as decision trees, random forests, and support vector machines, as well as TensorFlow examples for building neural networks, convolutional layers, and recurrent architectures. It also includes tutorials on reinforcement learning development and the creation o

This project is a collaborative knowledge base and technical learning resource that provides a detailed breakdown of the internal processes occurring within modern computing environments. It serves as a comprehensive educational reference, tracing the step-by-step operations triggered by common user interactions and network requests to explain how hardware and software components interact across the entire stack. The guide distinguishes itself by offering deep technical insights into the journey from physical input to visual output. It covers the low-level mechanics of hardware interrupt hand

This is an Asciidoc book of Simon Wardley's "Wardley Maps". It simply takes all his medium posts and joins them together for ease of reading. The intention is to be entirely faithful to the original posts - I've not even fixed the few spelling mistakes - while allowing various output versions to…

DocsGPT is a retrieval-augmented generation platform and private knowledge base used to build AI agents that perform grounded search and analysis. It functions as a multi-model AI orchestrator and enterprise agent builder, allowing for the integration of various local and cloud language models to customize reasoning and text generation. The project provides a visual environment for developing automated assistants using conditional logic and third-party API connectivity. It enables the creation of private AI agents capable of performing enterprise search and detailed document analysis using pr

State of the art resources for NLP sequence modeling tasks such as machine translation, image captioning, and dialog.

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Supercharged experience for multiple models such as ChatGPT, DALL-E and Stable Diffusion.

This project is a web-based user interface for interacting with large language models via API keys. It functions as an OpenAI API client and a general LLM web chat interface, allowing users to send prompts and receive responses through a private web portal. The application features a security layer with password-based access control to restrict public usage. It supports custom request routing and proxy configurations to bypass network restrictions, and it is available as a progressive web app for native-like installation on mobile devices. The interface includes rich text rendering for Markd

Fuzzing101 is an educational resource providing a structured curriculum and containerized security labs for learning software fuzzing and vulnerability research. It functions as a training course that guides users through the process of identifying security flaws using systematic input manipulation and memory corruption analysis. The project distinguishes itself by providing isolated environments that ensure consistent build dependencies for practicing software instrumentation and crash triaging. It includes a practical tutorial on using evolutionary fuzzing engines and instrumentation tools

This project provides educational materials and courseware focused on the theoretical and practical foundations of distributed systems design. It serves as a comprehensive curriculum covering the disciplines of consensus, data consistency, reliability engineering, and scalability. The instructional content focuses on achieving cluster agreement through consensus algorithms and managing system-wide state via coordination frameworks. It includes a dedicated guide to data theory, exploring replication strategies, consistency models, and data convergence. The courseware covers a broad capability

Curated list: Resources for machine learning in Ruby

Online resource of a practical machine learning course in the Department of Materials at Imperial College London.

Podcast about Android Development with Hannes Dorfmann, Artem Zinnatullin, Artur Dryomov and wonderful guests!

This project is a collection of structured study notes and notebooks serving as an educational resource for deep learning and neural network fundamentals. It provides a technical reference for implementing machine learning theory, covering everything from basic network design to the construction of advanced architectures. The material specifically focuses on the implementation of convolutional neural networks for computer vision and sequence models for natural language processing. It includes detailed guidance on building object detection systems, face recognition, and speech transcription mo

A curated list of applied machine learning and data science notebooks and libraries across different industries.

This project is a community-maintained, open-access directory of high-quality public datasets. It serves as a centralized reference point for researchers, developers, and data scientists to locate reliable information sources across a wide spectrum of industries and scientific fields. By providing a structured index, the repository facilitates the discovery of data necessary for exploratory analysis, machine learning model training, and the development of data-intensive applications. The directory distinguishes itself through a lightweight, platform-agnostic approach to resource indexing that

Serverless Reference Architecture for creating an IoT Backend

` ENDPOINT /search?q={query} GET https://kbbi-api-amm.herokuapp.com/search?q=apel `

llm-viz is a 3D architecture visualizer and inference simulator for large language models. It provides a visual representation of network topology and the mathematical operations used during the process of generating a response. The tool enables the exploration of internal weight distributions and the layout of layers within a neural network. It facilitates model interpretability and inference debugging by tracking the step-by-step movement of data through the architecture. The system utilizes GPU-accelerated 3D rendering to visualize tensor flow and spatial mappings of weights. It includes

A collection of important graph embedding, classification and representation learning papers with implementations.

Transcribe and translate audio files using OpenAI's Whisper API.

pdfGPT is a retrieval augmented generation application and chatbot designed to analyze PDF documents. It functions as a document analyzer and vector search interface, using large language models to answer questions grounded in the content of uploaded files. The system implements a pipeline that extracts text from PDFs, splits content into overlapping segments, and uses vector-based semantic search to retrieve relevant context. This process allows the application to provide responses with verifiable source citations, including page number references to the original document. The project also

Bitcoin Programming with BitcoinJS, Bitcoin Core and LND

A collection of links that teach python