Best AI tools for< Nx Developer >
Infographic
0 - AI tool Sites
20 - Open Source Tools

nx_open
The `nx_open` repository contains open-source components for the Network Optix Meta Platform, used to build products like Nx Witness Video Management System. It includes source code, specifications, and a Desktop Client. The repository is licensed under Mozilla Public License 2.0. Users can build the Desktop Client and customize it using a zip file. The build environment supports Windows, Linux, and macOS platforms with specific prerequisites. The repository provides scripts for building, signing executable files, and running the Desktop Client. Compatibility with VMS Server versions is crucial, and automatic VMS updates are disabled for the open-source Desktop Client.

CortexTheseus
CortexTheseus is a full node implementation of the Cortex blockchain, written in C++. It provides a complete set of features for interacting with the Cortex network, including the ability to create and manage accounts, send and receive transactions, and participate in consensus. CortexTheseus is designed to be scalable, secure, and easy to use, making it an ideal choice for developers building applications on the Cortex blockchain.

fal-js
The fal.ai JS client is a robust and user-friendly library for seamless integration of fal serverless functions in Web, Node.js, and React Native applications. Developed in TypeScript, it provides developers with type safety right from the start. The client library is crafted as a lightweight layer atop platform standards like `fetch`, ensuring hassle-free integration into existing codebases and flawless operation across various JavaScript runtimes. The client proxy feature allows secure handling of credentials by using a server proxy for serverless APIs. The repository also includes example Next.js applications for demonstration and integration.

dev-conf-replay
This repository contains information about various IT seminars and developer conferences in South Korea, allowing users to watch replays of past events. It covers a wide range of topics such as AI, big data, cloud, infrastructure, devops, blockchain, mobility, games, security, mobile development, frontend, programming languages, open source, education, and community events. Users can explore upcoming and past events, view related YouTube channels, and access additional resources like free programming ebooks and data structures and algorithms tutorials.

awesome-ml-gen-ai-elixir
A curated list of Machine Learning (ML) and Generative AI (GenAI) packages and resources for the Elixir programming language. It includes core tools for data exploration, traditional machine learning algorithms, deep learning models, computer vision libraries, generative AI tools, livebooks for interactive notebooks, and various resources such as books, videos, and articles. The repository aims to provide a comprehensive overview for experienced Elixir developers and ML/AI practitioners exploring different ecosystems.

AiTreasureBox
AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

AITreasureBox
AITreasureBox is a comprehensive collection of AI tools and resources designed to simplify and accelerate the development of AI projects. It provides a wide range of pre-trained models, datasets, and utilities that can be easily integrated into various AI applications. With AITreasureBox, developers can quickly prototype, test, and deploy AI solutions without having to build everything from scratch. Whether you are working on computer vision, natural language processing, or reinforcement learning projects, AITreasureBox has something to offer for everyone. The repository is regularly updated with new tools and resources to keep up with the latest advancements in the field of artificial intelligence.

shinkai-apps
Shinkai apps unlock the full capabilities/automation of first-class LLM (AI) support in the web browser. It enables creating multiple agents, each connected to either local or 3rd-party LLMs (ex. OpenAI GPT), which have permissioned (meaning secure) access to act in every webpage you visit. There is a companion repo called Shinkai Node, that allows you to set up the node anywhere as the central unit of the Shinkai Network, handling tasks such as agent management, job processing, and secure communications.

ai-dial-chat
DIAL Chat is a default UI for AI DIAL, recommended for learning the capability of the headless system. It offers various features like IDP support, model comparison, DIAL extensions, conversation replays, and branding. Managed as a monorepo by NX tools, it provides documentation for DIAL Chat, Theming, Overlay, and Visualizer Connector. Users can find a user guide for the AI DIAL Chat application in the AI DIAL repository.

xlstm
xLSTM is a new Recurrent Neural Network architecture based on ideas of the original LSTM. Through Exponential Gating with appropriate normalization and stabilization techniques and a new Matrix Memory it overcomes the limitations of the original LSTM and shows promising performance on Language Modeling when compared to Transformers or State Space Models. The package is based on PyTorch and was tested for versions >=1.8. For the CUDA version of xLSTM, you need Compute Capability >= 8.0. The xLSTM tool provides two main components: xLSTMBlockStack for non-language applications or integrating in other architectures, and xLSTMLMModel for language modeling or other token-based applications.

awesome-cuda-tensorrt-fpga
Okay, here is a JSON object with the requested information about the awesome-cuda-tensorrt-fpga repository:

AIlice
AIlice is a fully autonomous, general-purpose AI agent that aims to create a standalone artificial intelligence assistant, similar to JARVIS, based on the open-source LLM. AIlice achieves this goal by building a "text computer" that uses a Large Language Model (LLM) as its core processor. Currently, AIlice demonstrates proficiency in a range of tasks, including thematic research, coding, system management, literature reviews, and complex hybrid tasks that go beyond these basic capabilities. AIlice has reached near-perfect performance in everyday tasks using GPT-4 and is making strides towards practical application with the latest open-source models. We will ultimately achieve self-evolution of AI agents. That is, AI agents will autonomously build their own feature expansions and new types of agents, unleashing LLM's knowledge and reasoning capabilities into the real world seamlessly.

amplication
Amplication is a robust, open-source development platform designed to revolutionize the creation of scalable and secure .NET and Node.js applications. It automates backend applications development, ensuring consistency, predictability, and adherence to the highest standards with code that's built to scale. The user-friendly interface fosters seamless integration of APIs, data models, databases, authentication, and authorization. Built on a flexible, plugin-based architecture, Amplication allows effortless customization of the code and offers a diverse range of integrations. With a strong focus on collaboration, Amplication streamlines team-oriented development, making it an ideal choice for groups of all sizes, from startups to large enterprises. It enables users to concentrate on business logic while handling the heavy lifting of development. Experience the fastest way to develop .NET and Node.js applications with Amplication.