Best AI tools for< Scale Projects >

Massed Compute is an AI tool that provides cloud GPU services for VFX rendering, machine learning, high-performance computing, scientific simulations, and data analytics & visualization. The platform offers flexible and affordable plans, cutting-edge technology infrastructure, and timely creative problem-solving. As an NVIDIA Preferred Partner, Massed Compute ensures reliable and future-proof Tier III Data Center servers for various computing needs. Users can launch AI instances, scale machine learning projects, and access high-performance GPUs on-demand.

Proxy is an AI-powered platform that focuses on utility scale renewables projects. It aims to automate renewable energy projects to power communities, businesses, and homes. Proxy provides intelligent financing solutions, project coordination services, and energy market integrations to streamline the process of generating renewable power. As an innovation partner with the U.S. Department of Energy, Proxy is committed to offsetting carbon emissions and making a significant impact on the environment.

CodeConductor is a no-code AI software development platform that empowers users to build scalable, high-quality applications without the need for extensive coding. The platform streamlines the app development process, allowing users to focus on innovation and customization. With features like accelerated app development, complete customization control, intelligent feature suggestions, dynamic data modeling, and seamless CI/CD & auto-scaled hosting, CodeConductor offers a user-friendly and efficient solution for creating web and mobile applications. The platform also provides enterprise-grade security, robust deployment options, and transparent code history tracking.

Restack is a developer tool and cloud infrastructure platform that enables users to build, launch, and scale AI products quickly and efficiently. With Restack, developers can go from local development to production in seconds, leveraging a variety of languages and frameworks. The platform offers templates, repository connections, and Dockerfile customization for seamless deployment. Restack Cloud provides cost-efficient scaling and GitHub integration for instant deployment. The platform simplifies the complexity of building and scaling AI applications, allowing users to move from code to production faster than ever before.

AI Video API is an all-in-one API hub for AI-generated video, offering a cost-effective, user-friendly, and robust solution for creating videos in various styles. The platform allows users to transform their ideas into stunning videos with just a few words, enabling text-to-video generation, image to animated video conversion, extended video length, dual output formats, and real-time alerts. With seamless integration into popular frameworks and support for multiple programming languages, AI Video API empowers users to innovate effortlessly, stay ahead of the curve, and scale their projects limitlessly.

Prolific is a platform that helps users quickly find research participants they can trust. It offers free representative samples, a participant pool of domain experts, the ability to bring your own participants, and an API for integration. Prolific ensures data quality by verifying participants with bank-grade ID checks, ongoing checks to identify bots, and no AI participants. The platform allows users to easily set up accounts, access rich and comprehensive responses, and scale research projects efficiently.

GetOData is a powerful web scraping API and Chrome extension that offers AI-based data extraction tools for small-scale scraping projects. It allows users to extract large amounts of data without being blocked by anti-bot mechanisms like Captchas, Cloudflare, or Akimai. The API is built by data extraction experts and provides features such as choosing the output format (HTML or JSON), setting proxy locations, executing JavaScript, taking screenshots, and more. GetOData offers simplified pricing options for freelancers, startups, and businesses, with competitive rates and high success rates compared to other services.

Dataiku is an end-to-end platform for data and AI projects. It provides a range of capabilities, including data preparation, machine learning, data visualization, and collaboration tools. Dataiku is designed to make it easy for users to build, deploy, and manage AI projects at scale.

Diligen is a machine learning powered contract analysis tool that provides instant insight into contracts by identifying key provisions, generating summaries, and facilitating team collaboration. It is designed to streamline contract review processes for law firms, legal service providers, and corporations, enabling faster and higher quality review while managing projects at scale. Diligen is used globally by various organizations to make contract review more efficient and cost-effective.

Denvr DataWorks AI Cloud is a cloud-based AI platform that provides end-to-end AI solutions for businesses. It offers a range of features including high-performance GPUs, scalable infrastructure, ultra-efficient workflows, and cost efficiency. Denvr DataWorks is an NVIDIA Elite Partner for Compute, and its platform is used by leading AI companies to develop and deploy innovative AI solutions.

ClearML is an open-source, end-to-end platform for continuous machine learning (ML). It provides a unified platform for data management, experiment tracking, model training, deployment, and monitoring. ClearML is designed to make it easy for teams to collaborate on ML projects and to ensure that models are deployed and maintained in a reliable and scalable way.

Heroku is a cloud platform that lets companies build, deliver, monitor, and scale apps. It simplifies the process of deploying applications by providing a platform as a service (PaaS) solution. With Heroku, developers can focus on writing code without worrying about infrastructure management. The platform supports multiple programming languages and frameworks, making it versatile for various types of applications.

JFrog ML is an AI platform designed to streamline AI development from prototype to production. It offers a unified MLOps platform to build, train, deploy, and manage AI workflows at scale. With features like Feature Store, LLMOps, and model monitoring, JFrog ML empowers AI teams to collaborate efficiently and optimize AI & ML models in production.

The Center for AI Safety (CAIS) is a research and field-building nonprofit based in San Francisco. Their mission is to reduce societal-scale risks associated with artificial intelligence (AI) by conducting impactful research, building the field of AI safety researchers, and advocating for safety standards. They offer resources such as a compute cluster for AI/ML safety projects, a blog with in-depth examinations of AI safety topics, and a newsletter providing updates on AI safety developments. CAIS focuses on technical and conceptual research to address the risks posed by advanced AI systems.

The Center for AI Safety (CAIS) is a research and field-building nonprofit organization based in San Francisco. They conduct impactful research, advocacy projects, and provide resources to reduce societal-scale risks associated with artificial intelligence (AI). CAIS focuses on technical AI safety research, field-building projects, and offers a compute cluster for AI/ML safety projects. They aim to develop and use AI safely to benefit society, addressing inherent risks and advocating for safety standards.

Myple is an AI application that enables users to build, scale, and secure AI applications with ease. It provides production-ready AI solutions tailored to individual needs, offering a seamless user experience. With support for multiple languages and frameworks, Myple simplifies the integration of AI through open-source SDKs. The platform features a clean interface, keyboard shortcuts for efficient navigation, and templates to kickstart AI projects. Additionally, Myple offers AI-powered tools like RAG chatbot for documentation, Gmail agent for email notifications, and AskFeynman for physics-related queries. Users can connect their favorite tools and services effortlessly, without any coding. Joining the beta program grants early access to new features and issue resolution prioritization.

SkyDeck AI is a secure business-first AI productivity platform that offers a generative AI workspace for every team in your business. It provides tools for creating, collaborating, customizing, and automating AI workflows with extensive customization options and integration capabilities. The platform prioritizes security, team collaboration, and customization, allowing users to deploy AI models and agents safely and securely. With a focus on user-friendly interface tools and smart agents, SkyDeck AI aims to empower teams to innovate and succeed together.

Vendasta is an AI-powered platform that helps digital agencies scale their business and assist clients in succeeding. It offers a full-stack platform with features like Snapshot Report for personalized needs assessment, Project Management for tracking and executing projects, Workflow Automations for optimizing productivity, CRM for managing customer relationships, Marketing Automation for generating leads, and Payments for invoicing clients. Vendasta also provides a Marketplace to grow revenue, Brandable Client Portal for client management, and AI-Assisted Web Chat for capturing leads. The platform caters to various industries and roles, offering solutions for B2B companies, web agencies, SEO agencies, advertising agencies, MSP & VAR, SaaS, social media agencies, creative agencies, franchises, and publishers.

Vendasta is a full-stack growth platform that provides agencies with the tools and resources they need to scale their businesses and help their clients succeed. With Vendasta, agencies can offer a wide range of services to their clients, including marketing automation, project management, sales and CRM, workflow automations, and more. Vendasta also offers a marketplace where agencies can resell products and services from other vendors, as well as a white-label client portal that allows clients to manage their own accounts and access all of the services that their agency offers.

UbiOps is an AI infrastructure platform that helps teams quickly run their AI & ML workloads as reliable and secure microservices. It offers powerful AI model serving and orchestration with unmatched simplicity, speed, and scale. UbiOps allows users to deploy models and functions in minutes, manage AI workloads from a single control plane, integrate easily with tools like PyTorch and TensorFlow, and ensure security and compliance by design. The platform supports hybrid and multi-cloud workload orchestration, rapid adaptive scaling, and modular applications with unique workflow management system.

SwanLab is an open-source, lightweight AI experiment tracking tool that provides a platform for tracking, comparing, and collaborating on experiments, aiming to accelerate the research and development efficiency of AI teams by 100 times. It offers a friendly API and a beautiful interface, combining hyperparameter tracking, metric recording, online collaboration, experiment link sharing, real-time message notifications, and more. With SwanLab, researchers can document their training experiences, seamlessly communicate and collaborate with collaborators, and machine learning engineers can develop models for production faster.

moai is a PyTorch-based AI Model Development Kit (MDK) designed to improve data-driven model workflows, design, and understanding. It offers modularity via monads for model building blocks, reproducibility via configuration-based design, productivity via a data-driven domain modelling language (DML), extensibility via plugins, and understanding via inter-model performance and design aggregation. The tool provides specific integrated actions like play, train, evaluate, plot, diff, and reprod to support heavy data-driven workflows with analytics, knowledge extraction, and reproduction. moai relies on PyTorch, Lightning, Hydra, TorchServe, ONNX, Visdom, HiPlot, Kornia, Albumentations, and the wider open-source community for its functionalities.

GitHub Sentinel is an intelligent information retrieval and high-value content mining AI Agent designed for the era of large models (LLMs). It is aimed at users who need frequent and large-scale information retrieval, especially open source enthusiasts, individual developers, and investors. The main features include subscription management, update retrieval, notification system, report generation, multi-model support, scheduled tasks, graphical interface, containerization, continuous integration, and the ability to track and analyze the latest dynamics of GitHub open source projects and expand to other information channels like Hacker News for comprehensive information mining and analysis capabilities.

This repository contains a collection of AI projects covering various areas of machine learning. Each project is accompanied by detailed articles on the associated blog sciblog. Projects range from introductory topics like Convolutional Neural Networks and Transfer Learning to advanced topics like Fraud Detection and Recommendation Systems. The repository also includes tutorials on data generation, distributed training, natural language processing, and time series forecasting. Additionally, it features visualization projects such as football match visualization using Datashader.

LF AI & Data Landscape is a map to explore open source projects in the AI & Data domains, highlighting companies that are members of LF AI & Data. It showcases members of the Foundation and is modelled after the Cloud Native Computing Foundation landscape. The landscape includes current version, interactive version, new entries, logos, proper SVGs, corrections, external data, best practices badge, non-updated items, license, formats, installation, vulnerability reporting, and adjusting the landscape view.

Colossal-AI is a deep learning system for large-scale parallel training. It provides a unified interface to scale sequential code of model training to distributed environments. Colossal-AI supports parallel training methods such as data, pipeline, tensor, and sequence parallelism and is integrated with heterogeneous training and zero redundancy optimizer.

Log10 is a one-line Python integration to manage your LLM data. It helps you log both closed and open-source LLM calls, compare and identify the best models and prompts, store feedback for fine-tuning, collect performance metrics such as latency and usage, and perform analytics and monitor compliance for LLM powered applications. Log10 offers various integration methods, including a python LLM library wrapper, the Log10 LLM abstraction, and callbacks, to facilitate its use in both existing production environments and new projects. Pick the one that works best for you. Log10 also provides a copilot that can help you with suggestions on how to optimize your prompt, and a feedback feature that allows you to add feedback to your completions. Additionally, Log10 provides prompt provenance, session tracking and call stack functionality to help debug prompt chains. With Log10, you can use your data and feedback from users to fine-tune custom models with RLHF, and build and deploy more reliable, accurate and efficient self-hosted models. Log10 also supports collaboration, allowing you to create flexible groups to share and collaborate over all of the above features.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

LangChain is an amazing framework to get LLM projects done in a matter of no time, and the ecosystem is growing fast. Here is an attempt to keep track of the initiatives around LangChain. Subscribe to the newsletter to stay informed about the Awesome LangChain. We send a couple of emails per month about the articles, videos, projects, and tools that grabbed our attention Contributions welcome. Add links through pull requests or create an issue to start a discussion. Please read the contribution guidelines before contributing.

A curated list of Generative AI projects, tools, artworks, and models

This practical free hands-on course focuses on Large Language models and their applications, providing a hands-on experience using models from OpenAI and the Hugging Face library. The course is divided into three major sections: Techniques and Libraries, Projects, and Enterprise Solutions. It covers topics such as Chatbots, Code Generation, Vector databases, LangChain, Fine Tuning, PEFT Fine Tuning, Soft Prompt tuning, LoRA, QLoRA, Evaluate Models, Knowledge Distillation, and more. Each section contains chapters with lessons supported by notebooks and articles. The course aims to help users build projects and explore enterprise solutions using Large Language Models.

This repository is a collection of various open source AI projects and topics, each focusing on specific areas such as language models, security, and deepfake technology. It includes projects like privateGPT for building a private version of the GPT language model, AutoGPT for automating training GPT models, and DeepFaceLab for deepfake creation. Explore these repositories to find projects that interest you.

EvalAI is an open-source platform for evaluating and comparing machine learning (ML) and artificial intelligence (AI) algorithms at scale. It provides a central leaderboard and submission interface, making it easier for researchers to reproduce results mentioned in papers and perform reliable & accurate quantitative analysis. EvalAI also offers features such as custom evaluation protocols and phases, remote evaluation, evaluation inside environments, CLI support, portability, and faster evaluation.

This repository provides a curated list of open-source projects that implement instruction-tuned large language models (LLMs) with reinforcement learning from human feedback (RLHF). The projects are evaluated in terms of their openness across a predefined set of criteria in the areas of Availability, Documentation, and Access. The goal of this repository is to promote transparency and accountability in the development and deployment of LLMs.

Awesome Generative AI is a curated list of modern Generative Artificial Intelligence projects and services. Generative AI technology creates original content like images, sounds, and texts using machine learning algorithms trained on large data sets. It can produce unique and realistic outputs such as photorealistic images, digital art, music, and writing. The repo covers a wide range of applications in art, entertainment, marketing, academia, and computer science.

SuperKnowa is a fast framework to build Enterprise RAG (Retriever Augmented Generation) Pipelines at Scale, powered by watsonx. It accelerates Enterprise Generative AI applications to get prod-ready solutions quickly on private data. The framework provides pluggable components for tackling various Generative AI use cases using Large Language Models (LLMs), allowing users to assemble building blocks to address challenges in AI-driven text generation. SuperKnowa is battle-tested from 1M to 200M private knowledge base & scaled to billions of retriever tokens.

ProX is a lm-based data refinement framework that automates the process of cleaning and improving data used in pre-training large language models. It offers better performance, domain flexibility, efficiency, and cost-effectiveness compared to traditional methods. The framework has been shown to improve model performance by over 2% and boost accuracy by up to 20% in tasks like math. ProX is designed to refine data at scale without the need for manual adjustments, making it a valuable tool for data preprocessing in natural language processing tasks.

Ray is a unified framework for scaling AI and Python applications. It consists of a core distributed runtime and a set of AI libraries for simplifying ML compute, including Data, Train, Tune, RLlib, and Serve. Ray runs on any machine, cluster, cloud provider, and Kubernetes, and features a growing ecosystem of community integrations. With Ray, you can seamlessly scale the same code from a laptop to a cluster, making it easy to meet the compute-intensive demands of modern ML workloads.

Metaflow is a user-friendly library designed to assist scientists and engineers in developing and managing real-world data science projects. Initially created at Netflix, Metaflow aimed to enhance the productivity of data scientists working on diverse projects ranging from traditional statistics to cutting-edge deep learning. For further information, refer to Metaflow's website and documentation.

I'm a Python and PyTorch expert with knowledge of ML infrastructure requirements ready to help you build and scale your ML projects.

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