Best AI tools for< Migrate Models >

The Intel Gaudi AI accelerator developer website provides resources, guidance, tools, and support for building, migrating, and optimizing AI models. It offers software, model references, libraries, containers, and tools for training and deploying Generative AI and Large Language Models. The site focuses on the Intel Gaudi accelerators, including tutorials, documentation, and support for developers to enhance AI model performance.

LiteLLM is a platform that simplifies model access, spend tracking, and fallbacks across 100+ LLMs. It provides a gateway to manage model access and offers features like logging, budget tracking, pass-through endpoints, and self-serve key management. LiteLLM is open-source and compatible with the OpenAI format, allowing users to access various LLMs seamlessly.

Vilosia is an AI-powered platform that helps medium and large enterprises with internal development teams to visualize their software architecture, simplify migration, and improve system modularity. The platform uses Gen AI to automatically add event triggers to the codebase, enabling users to understand data flow, system dependencies, domain boundaries, and external APIs. Vilosia also offers AI workflow analysis to extract workflows from function call chains and identify database usage. Users can scan their codebase using CLI client & CI/CD integration and stay updated with new features through the newsletter.

Hostinger is an AI-powered web hosting platform that offers a range of services including managed hosting for WordPress, WooCommerce, cloud hosting, agency hosting, domain registration, email services, and more. With a user-friendly interface and a focus on performance, reliability, and security, Hostinger aims to provide individuals and businesses with the tools they need to create and manage their websites effectively.

Diffblue Cover is an autonomous AI-powered unit test writing tool for Java development teams. It uses next-generation autonomous AI to automate unit testing, freeing up developers to focus on more creative work. Diffblue Cover can write a complete and correct Java unit test every 2 seconds, and it is directly integrated into CI pipelines, unlike AI-powered code suggestions that require developers to check the code for bugs. Diffblue Cover is trusted by the world's leading organizations, including Goldman Sachs, and has been proven to improve quality, lower developer effort, help with code understanding, reduce risk, and increase deployment frequency.

Allwire Technologies, LLC is a boutique IT consultancy firm that specializes in building intelligent IT infrastructure solutions. They offer services such as hybrid infrastructure management, security expertise, IT helpdesk support, operational insurance, and AI-driven solutions. The company focuses on empowering clients by providing tailored IT solutions without vendor lock-in. Allwire Technologies is known for fixing complex IT problems and modernizing existing tech stacks through a combination of cloud and data center solutions.

CodeComplete is an AI-powered coding assistant designed specifically for enterprise needs. It is efficient, reliable, and equipped with cutting-edge technology to improve developer productivity. CodeComplete offers a comprehensive suite of coding tools to improve end-to-end developer workflow, including code generation, code chat, automated unit test generation, automated documentation, and refactoring & migrations.

ZENfra.ai is an AI-powered platform that offers innovative solutions for InfraOps, SecOps, FinOps, and more. It provides cutting-edge technologies and industry expertise to help organizations achieve unparalleled success in the digital landscape. The platform features solutions for cybersecurity risk management, financial management, IT infrastructure oversight, migration insights, and observability. ZENfra.ai is committed to excellence, providing comprehensive services to transform the way businesses operate, secure, and optimize their digital assets.

JittorLLMs is a large model inference library that allows running large models on machines with low hardware requirements. It significantly reduces hardware configuration demands, enabling deployment on ordinary machines with 2GB of memory. It supports various large models and provides a unified environment configuration for users. Users can easily migrate models without modifying any code by installing Jittor version of torch (JTorch). The framework offers fast model loading speed, optimized computation performance, and portability across different computing devices and environments.

HuggingFaceGuidedTourForMac is a guided tour on how to install optimized pytorch and optionally Apple's new MLX, JAX, and TensorFlow on Apple Silicon Macs. The repository provides steps to install homebrew, pytorch with MPS support, MLX, JAX, TensorFlow, and Jupyter lab. It also includes instructions on running large language models using HuggingFace transformers. The repository aims to help users set up their Macs for deep learning experiments with optimized performance.

Hof is a CLI tool that unifies data models, schemas, code generation, and a task engine. It allows users to augment data, config, and schemas with CUE to improve consistency, generate multiple Yaml and JSON files, explore data or config with a TUI, and run workflows with automatic task dependency inference. The tool uses CUE to power the DX and implementation, providing a language for specifying schemas, configuration, and writing declarative code. Hof offers core features like code generation, data model management, task engine, CUE cmds, creators, modules, TUI, and chat for better, scalable results.

RayLLM (formerly known as Aviary) is an LLM serving solution that makes it easy to deploy and manage a variety of open source LLMs, built on Ray Serve. It provides an extensive suite of pre-configured open source LLMs, with defaults that work out of the box. RayLLM supports Transformer models hosted on Hugging Face Hub or present on local disk. It simplifies the deployment of multiple LLMs, the addition of new LLMs, and offers unique autoscaling support, including scale-to-zero. RayLLM fully supports multi-GPU & multi-node model deployments and offers high performance features like continuous batching, quantization and streaming. It provides a REST API that is similar to OpenAI's to make it easy to migrate and cross test them. RayLLM supports multiple LLM backends out of the box, including vLLM and TensorRT-LLM.

CSGHub is an open source, trustworthy large model asset management platform that can assist users in governing the assets involved in the lifecycle of LLM and LLM applications (datasets, model files, codes, etc). With CSGHub, users can perform operations on LLM assets, including uploading, downloading, storing, verifying, and distributing, through Web interface, Git command line, or natural language Chatbot. Meanwhile, the platform provides microservice submodules and standardized OpenAPIs, which could be easily integrated with users' own systems. CSGHub is committed to bringing users an asset management platform that is natively designed for large models and can be deployed On-Premise for fully offline operation. CSGHub offers functionalities similar to a privatized Huggingface(on-premise Huggingface), managing LLM assets in a manner akin to how OpenStack Glance manages virtual machine images, Harbor manages container images, and Sonatype Nexus manages artifacts.

AIdea Server is an open-source Golang-based server that integrates mainstream large language models and drawing models. It supports various functionalities including OpenAI's GPT-3.5 and GPT-4, Anthropic's Claude instant and Claude 2.1, Google's Gemini Pro, as well as Chinese models like Tongyi Qianwen, Wenxin Yiyuan, and more. It also supports open-source large models like Yi 34B, Llama2, and AquilaChat 7B. Additionally, it provides features for text-to-image, super-resolution, coloring black and white images, generating art fonts and QR codes, among others.

Laravel Crod is a package designed to facilitate the implementation of CRUD operations in Laravel projects. It allows users to quickly generate controllers, models, migrations, services, repositories, views, and requests with various customization options. The package simplifies tasks such as creating resource controllers, making models fillable, querying repositories and services, and generating additional files like seeders and factories. Laravel Crod aims to streamline the process of building CRUD functionalities in Laravel applications by providing a set of commands and tools for developers.

Awesome-LLM-Quantization is a curated list of resources related to quantization techniques for Large Language Models (LLMs). Quantization is a crucial step in deploying LLMs on resource-constrained devices, such as mobile phones or edge devices, by reducing the model's size and computational requirements.

Lunary is an open-source observability and prompt platform for Large Language Models (LLMs). It provides a suite of features to help AI developers take their applications into production, including analytics, monitoring, prompt templates, fine-tuning dataset creation, chat and feedback tracking, and evaluations. Lunary is designed to be usable with any model, not just OpenAI, and is easy to integrate and self-host.

The Intel® Geti™ SDK is a python package that enables teams to rapidly develop AI models by easing the complexities of model development and enhancing collaboration between teams. It provides tools to interact with an Intel® Geti™ server via the REST API, allowing for project creation, downloading, uploading, deploying for local inference with OpenVINO, setting project and model configuration, launching and monitoring training jobs, and media upload and prediction. The SDK also includes tutorial-style Jupyter notebooks demonstrating its usage.

WeiXin-Dyh-AI is a backend management system that supports integrating WeChat subscription accounts with AI services. It currently supports integration with Ali AI, Moonshot, and Tencent Hyunyuan. Users can configure different AI models to simulate and interact with AI in multiple modes: text-based knowledge Q&A, text-to-image drawing, image description, text-to-voice conversion, enabling human-AI conversations on WeChat. The system allows hierarchical AI prompt settings at system, subscription account, and WeChat user levels. Users can configure AI model types, providers, and specific instances. The system also supports rules for allocating models and keys at different levels. It addresses limitations of WeChat's messaging system and offers features like text-based commands and voice support for interactions with AI.

`npcsh` is a python-based command-line tool designed to integrate Large Language Models (LLMs) and Agents into one's daily workflow by making them available and easily configurable through the command line shell. It leverages the power of LLMs to understand natural language commands and questions, execute tasks, answer queries, and provide relevant information from local files and the web. Users can also build their own tools and call them like macros from the shell. `npcsh` allows users to take advantage of agents (i.e. NPCs) through a managed system, tailoring NPCs to specific tasks and workflows. The tool is extensible with Python, providing useful functions for interacting with LLMs, including explicit coverage for popular providers like ollama, anthropic, openai, gemini, deepseek, and openai-like providers. Users can set up a flask server to expose their NPC team for use as a backend service, run SQL models defined in their project, execute assembly lines, and verify the integrity of their NPC team's interrelations. Users can execute bash commands directly, use favorite command-line tools like VIM, Emacs, ipython, sqlite3, git, pipe the output of these commands to LLMs, or pass LLM results to bash commands.

SuperDuperDB is a Python framework for integrating AI models, APIs, and vector search engines directly with your existing databases, including hosting of your own models, streaming inference and scalable model training/fine-tuning. Build, deploy and manage any AI application without the need for complex pipelines, infrastructure as well as specialized vector databases, and moving our data there, by integrating AI at your data's source: - Generative AI, LLMs, RAG, vector search - Standard machine learning use-cases (classification, segmentation, regression, forecasting recommendation etc.) - Custom AI use-cases involving specialized models - Even the most complex applications/workflows in which different models work together SuperDuperDB is **not** a database. Think `db = superduper(db)`: SuperDuperDB transforms your databases into an intelligent platform that allows you to leverage the full AI and Python ecosystem. A single development and deployment environment for all your AI applications in one place, fully scalable and easy to manage.

This repository showcases how to deploy generative AI models from Amazon SageMaker JumpStart using the AWS CDK. Generative AI is a type of AI that can create new content and ideas, such as conversations, stories, images, videos, and music. The repository provides a detailed guide on deploying image and text generative AI models, utilizing pre-trained models from SageMaker JumpStart. The web application is built on Streamlit and hosted on Amazon ECS with Fargate. It interacts with the SageMaker model endpoints through Lambda functions and Amazon API Gateway. The repository also includes instructions on setting up the AWS CDK application, deploying the stacks, using the models, and viewing the deployed resources on the AWS Management Console.

TPI-LLM (Tensor Parallelism Inference for Large Language Models) is a system designed to bring LLM functions to low-resource edge devices, addressing privacy concerns by enabling LLM inference on edge devices with limited resources. It leverages multiple edge devices for inference through tensor parallelism and a sliding window memory scheduler to minimize memory usage. TPI-LLM demonstrates significant improvements in TTFT and token latency compared to other models, and plans to support infinitely large models with low token latency in the future.

ChatOllama is an open-source chatbot based on LLMs (Large Language Models). It supports a wide range of language models, including Ollama served models, OpenAI, Azure OpenAI, and Anthropic. ChatOllama supports multiple types of chat, including free chat with LLMs and chat with LLMs based on a knowledge base. Key features of ChatOllama include Ollama models management, knowledge bases management, chat, and commercial LLMs API keys management.

STaRK is a large-scale semi-structure retrieval benchmark on Textual and Relational Knowledge Bases. It provides natural-sounding and practical queries crafted to incorporate rich relational information and complex textual properties, closely mirroring real-life scenarios. The benchmark aims to assess how effectively large language models can handle the interplay between textual and relational requirements in queries, using three diverse knowledge bases constructed from public sources.

OpenCharacter is an open-source tool that allows users to create and run characters locally with local models or use the hosted version. The stack includes Next.js for frontend, TailwindCSS for styling, Drizzle ORM for database access, NextAuth for authentication, Cloudflare D1 for serverless databases, Cloudflare Pages for hosting, and ShadcnUI as the component library. Users can integrate OpenCharacter with OpenRouter by configuring the OpenRouter API key. The tool is fully scalable, composable, and cost-effective, with powerful tools like Wrangler for database management and migrations. No environment variables are needed, making it easy to use and deploy.

Wiseflow is an agile information mining tool that utilizes the thinking and analysis capabilities of large models to accurately extract specific information from various given sources, without the need for manual intervention. The tool focuses on filtering noise from a vast amount of information to reveal valuable insights. It is recommended to use normal language models for information extraction tasks to optimize speed and cost, rather than complex reasoning models. The tool is designed for continuous information gathering based on specified focus points from various sources.

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.

Expert in all aspects of Google Cloud Platform.

Friendly Azure guide for beginners

Assistant for migrating data from Access to SQLite databases.

Specialized in migrating code to the latest OpenAI API version.

Guide for AWS OpsWorks to SSM migration

Virtual assistant for Angular 10 to 11 migration.

Expert in Angular 12 to 13 migration, providing advice in French.

将Vue2的JavaScript代码升级为Vue3版本Composition API的TypeScript代码，同时升级Vuex、i18n、ElementUI等组件。

Cloud computing ace with an old school vibe.

Expert in system design best practices for cloud solutions

Expert on IBM FlashSystem, offering 'How-To' guidance and technical insights.

An Oracle database expert offering guidance and solutions.

Cloud Engineer Expert, guiding in cloud tech, projects, career, and industry trends.

A comprehensive resource for all aspects of digital preservation.

Expert in cloud computing, offering insights on services, security, and infrastructure.