#Installation

Cortex is a Local AI API Platform that allows for the running and customization of Language Learning Models (LLMs) using a user-friendly CLI. This platform, implemented in C++, integrates with Huggingface and Cortex's own models, and supports various engines like llama.cpp, ONNXRuntime, and TensorRT-LLM. Available with local and network installers, it provides cross-platform compatibility across Windows, MacOS, and Linux. Cortex enables flexible model management and can be deployed as a standalone API or integrated into other applications. The platform supports multiple model quantizations and is on track to include full OpenAI API features.

The project provides enhanced user experience in audio management with automatic installers and Docker support, facilitating seamless installation and updates. Compatibility with Python 3.10 is required, along with Git and ffmpeg, particularly for Windows installations. A comprehensive guide for manual Git installations and effective update processes is available. The project also includes a Google Colab notebook for interactive exploration, and customization through common command line flags. Engage with an active community on Discord for continuous support and updates. The tone is factual and avoids promotional language.

This suite enhances ComfyUI with a variety of custom nodes for improving video processing and text generation tasks. It includes nodes for handling variables such as integer, string, and float, alongside advanced video nodes like LoadVideoAdvanced, SaveVideo, and FrameInterpolator, enabling efficient video frame extraction, processing, and storage. The suite also offers GPTLoaderSimple and GPTSampler nodes to facilitate robust text generation using GGUF GPT models including Llava, Moondream, and Joytag. With GPU support and adaptable configuration, this toolkit aids developers in refining workflows and ensuring compatibility with modern technologies, all within a centralized ComfyUI framework.

TensorFlow I/O provides additional support for various file systems and data formats outside of TensorFlow's core offerings. It integrates seamlessly with Keras to allow direct access to datasets from HTTP/HTTPS without needing local storage. This enhances data workflows by simplifying data access and conversion. Compatible across various TensorFlow versions, it can be installed using pip or Docker, and also includes an R package. Supporting a wide range of systems and cloud technologies, it offers strong solutions for data handling in both experimental and production settings.

Explore how this open-source AI tool facilitates creative idea generation seamlessly. Offering multiple installation options via Flathub or direct builds, it provides adaptability for various user needs. Contributions to translation and development are encouraged under the GNOME Code of Conduct. Benefit from its integration with desktop environments and stay informed on package statuses through platforms like GitHub and Codeberg. Collaborate with Bavarder for comprehensive desktop AI experiences. Visit the official page for detailed information.

MLX Chat is a web interface for MLX's mlx-lm, built with Streamlit for ease of use. It provides straightforward installation, update, and execution of ML models, with the ability to utilize a custom model.txt for customization. This project is suitable for developers and data scientists looking for efficient model deployment. Users should note potential issues with the latest library versions. Additional models and resources are available via the mlx-community on Hugging Face.

Xendit Go SDK offers a straightforward approach to integrating the Xendit REST API in Go applications without complication. Install the package, use your API key for authorization, and access detailed API documentation. It facilitates management of invoices, payments, and refunds, among other services. Improve development processes with clear examples and solid support for connecting to Xendit's financial services effortlessly.

EDMarketConnector is an essential tool for PC players of Elite Dangerous, integrating the game's Journal files and Frontier API to transmit valuable data to third-party applications. The software supports plugins and provides extensive documentation on setup, troubleshooting, and more. Engage with the community on Discord for support and report any issues via GitHub. Note: Not compatible with PS4 or Xbox accounts.

This tool facilitates the addition of PHP extensions to official Docker images, emphasizing simplicity and efficiency. It is compatible with Debian and Alpine-based Docker images, streamlining the management of essential APT/APK packages and reducing image size. Various installation methods such as scripts via ADD or curl commands in Dockerfiles are available for extensions like GD and xdebug. Additionally, the installer provides options for version control, source code installation, and resolving Let's Encrypt certificate challenges, ensuring developers have a streamlined, lightweight, and continually updated setup.

OpenAGI provides a flexible environment for creating AI agents, featuring easy integration with PyPI for installation. It includes a structured process for managing agents, facilitating their addition, upload, and download. Integrated support for AIOS and external tools enhances development potential. Licensed under MIT, it fosters collaborative innovation, offering ample resources for contributors and researchers. Engage with the OpenAGI community to explore advanced applications and further AI learning and development.

OSWorld provides Docker support to enhance the setup of virtual environments across platforms such as AWS and Azure. The project has updated its environment code for better platform integration beyond VMware, adding compatibility with VirtualBox. It offers options for configuring VMware Workstation Pro, using Docker on non-bare metal servers, or choosing the lightweight desktop-env installation, making it adaptable to different infrastructures. The project includes detailed instructions, agent baselines, and experimental setups to facilitate multimodal agent benchmarks in computer environments.

Please is a CLI tool that translates natural language into shell commands, simplifying intricate terminal tasks. With straightforward installation and prerequisites, 'pls' enables execution of tasks like file management, directory creation, network rule configuration, and file compression. It leverages essential utilities like 'jq', 'curl', and the OpenAI API. Caution is advised when using root access due to potential unpredictable actions. Please offers a direct way to bridge the communication between human language and command-line operations.

Orama offers a robust search platform with features such as full-text, vector, and hybrid search capabilities, along with GenAI chat sessions. Developers benefit from enhanced search efficiency and extensive plugin support, including embeddings and secure proxy options. Orama can be installed via npm, yarn, pnpm, or bun, and is powered by TensorflowJS. Comprehensive documentation is available for more information.

The project offers a detailed guide for leveraging ONNX and YOLOv8 in object detection, covering essential requirements and installation procedures, with a focus on GPU compatibility using onnxruntime-gpu for NVIDIA devices. It facilitates model conversion via Google Colab using clear Python scripts. The repository features examples for image, webcam, and video inference, demonstrating the model's versatility and efficiency. This project serves as a valuable resource for developers interested in implementing YOLOv8 in ONNX format, providing practical application insights.

TensorFlow Estimator provides a user-friendly API designed to streamline training, evaluation, prediction, and model exporting within machine learning frameworks. As part of the TensorFlow suite, it integrates smoothly for ease of use, with clear instructions to assist users in getting started. Developers interested in contributing can use Bazel for local development, following the designated contribution guidelines. All issues are tracked via the central TensorFlow repository, fostering collaborative support and resourceful documentation.

TF-Agents, a flexible TensorFlow library for context-aware bandits and reinforcement learning, offers comprehensive tools and tutorials for easy implementation and testing, featuring support for algorithms like DQN and PPO.

Node-redis is a reliable and efficient client for Redis, designed for seamless integration in Node.js environments. It supports extensive data operations and includes Redis Stack modules like Bloom, Graph, JSON, Search, and Time-Series. The package offers flexibility for standalone and cluster setups, with straightforward npm installation and optional module selection for specific command needs. It benefits from active community backing and rich educational resources, fostering a collaborative ecosystem under the MIT license.

Cookiecutter Data Science provides a standardized project structure with v2 extending cookiecutter's functionalities for Python 3.8+. Simple installation via pipx ensures quick setup with the ccds tool. It supports both new and legacy templates, ideal for standardizing workflows, complete with documentation and open for contributions.

Repochat is a chatbot leveraging a Large Language Model to enable conversation about GitHub repositories. It supports both local and cloud-based installations, providing flexibility for different requirements. Features like file fragmentation, embedding processes, and memory retention offer deep engagement with repository content. Setup involves configuring a Python environment and integrating with models such as CodeLlama.

Explore a browser extension that uses ChatGPT to simplify web content by delivering concise summaries. Available for Chrome and Edge, it offers easy installation and customization, including language translation options, enhancing browsing efficiency and content accessibility.

Discover Panel's versatile chat components, integrating technologies like LangChain and OpenAI. This project offers hands-on examples for implementing AI-enhanced interactions in applications. Gain insights into Panel's capabilities through a straightforward setup and execution, available on GitHub.

The Classical Language Toolkit (CLTK) is a Python library designed for NLP tasks in pre-modern languages. It features a modular architecture that supports diverse algorithms with pre-configured defaults across 20 languages. By leveraging techniques from established NLP frameworks, CLTK addresses specific needs often overlooked by modern language tools. The library is easy to install and comes with comprehensive documentation, making it a valuable asset for researchers in digital humanities focused on ancient texts.

JAXopt provides advanced optimizers for GPU, TPU, and CPU acceleration, offering solutions that are differentiable and easily batchable. Built with JAX, it supports efficient vectorization and differentiation, enhancing computational performance. Now in maintenance mode, JAXopt is integrating into the Optax library, while still delivering effective optimization capabilities.

Explore a practical way to learn Rust through a series of small, interactive exercises that align with the official Rust book. These exercises offer hands-on practice in reading and writing Rust code and interpreting compiler messages, catering specifically to beginners. Designed for compatibility with modern development tools like VS Code and rust-analyzer, this tool supports a seamless learning process. By installing the latest versions of Rust and Rustlings, learners can advance through the exercises sorted by topic, using available hints. Enhance your Rust skills with this instructional resource and explore additional learning through community-contributed third-party exercises.

Kubernetes Dashboard offers an intuitive interface for efficient management of applications and clusters in Kubernetes environments. Supporting Helm-based installation from version 7.0.0, it integrates a single-container, DBless Kong gateway for enhanced management control. The UI streamlines application oversight, troubleshooting, and customization, while detailed documentation supports users and developers. Connect with the Kubernetes community for support and contributions, aligned with the Kubernetes Code of Conduct. Access comprehensive guides for effective dashboard management and security.

The 'lms' command line tool integrates seamlessly with LM Studio, enabling users to manage local API servers and load models with GPU acceleration. Supporting Linux, macOS, and Windows, it offers functionalities like model listing in JSON format, project creation, model status checks, and log streaming. This tool facilitates efficient model management and is essential for developers using LM Studio.

The tool allows face swapping in videos using a single image, without the need for datasets or training. While it offers enhanced CPU and GPU features, installation requires technical expertise. The software emphasizes ethical usage, providing customization options such as frame processors and video encoders, supporting artists and AI media creators responsibly.

Explore the open-source GPT-Code-UI for efficient code generation and execution with OpenAI's models. Features include context-aware code execution, file management, and model flexibility between GPT-3.5 and GPT-4. Install with pip and use dependencies like numpy and pandas. Customize via .env files or deploy with Docker. Connect with the active community on Discord for collaboration.

Explore a simple Rust client for integrating with the OpenAI API, offering convenient features for demos and debugging by utilizing `CompletionArgs`. It facilitates efficient API use with configurable engines and token management, suitable for various project scales.

Utilize cutting-edge AI capabilities with models like GPT-4 and Llama-3, available on Raycast without an API key. This open-source extension includes features like real-time streaming and web search, enhancing accessibility and cost efficiency. Supporting multiple AI models and customizable commands, it allows efficient task management. Easy installation from source and regular updates make this extension a practical choice for integrating AI technology within Raycast.

Amazon ECR Docker Credential Helper facilitates Docker's interaction with Amazon Elastic Container Registry by automating credential management, eliminating manual logins. Compatible with platforms like Amazon Linux, Mac OS, and Ubuntu, it eases installation and configuration. Supporting AWS credentials through IAM roles and environment variables, it ensures secure and efficient registry operations, with customization options for specialized ECR registry configuration.

Discover how to access and modify the WSL2 Linux Kernel source code and configurations. Learn steps for building the kernel on x86_64 architectures with Ubuntu and reporting issues through the official GitHub page. Gain insights into contributing new features by creating upstream patches and customizing kernel configurations.

Lean 4 offers resources for functional programming and theorem proving, including a quickstart guide, comprehensive tutorials, and installation documentation. It also provides instructions for contributing, updates, and answers to common questions, presenting a robust toolkit for enhancing programming and proving skills.