Best AI tools for< Version Experiments >

DVC is an open-source platform for managing machine learning data and experiments. It provides a unified interface for working with data from various sources, including local files, cloud storage, and databases. DVC also includes tools for versioning data and experiments, tracking metrics, and automating compute resources. DVC is designed to make it easy for data scientists and machine learning engineers to collaborate on projects and share their work with others.

DVC Studio is a collaboration tool for machine learning teams. It provides seamless data and model management, experiment tracking, visualization, and automation. DVC Studio is built for ML researchers, practitioners, and managers. It enables model organization and discovery across all ML projects and manages model lifecycle with Git, unifying ML projects with the best DevOps practices. DVC Studio also provides ML experiment tracking, visualization, collaboration, and automation using Git. It applies software engineering and DevOps best-practices to automate ML bookkeeping and model training, enabling easy collaboration and faster iterations.

DVC is an open-source version control system for machine learning projects. It allows users to track and manage their data, models, and code in a single place. DVC also provides a number of features that make it easy to collaborate on machine learning projects, such as experiment tracking, model registration, and pipeline management.

Valohai is a scalable MLOps platform that enables Continuous Integration/Continuous Deployment (CI/CD) for machine learning and pipeline automation on-premises and across various cloud environments. It helps streamline complex machine learning workflows by offering framework-agnostic ML capabilities, automatic versioning with complete lineage of ML experiments, hybrid and multi-cloud support, scalability and performance optimization, streamlined collaboration among data scientists, IT, and business units, and smart orchestration of ML workloads on any infrastructure. Valohai also provides a knowledge repository for storing and sharing the entire model lifecycle, facilitating cross-functional collaboration, and allowing developers to build with total freedom using any libraries or frameworks.

RBG AI Drop is an AI tool that allows users to interact with a virtual version of Justice Ruth Bader Ginsburg. Users can ask her any YES/NO question and receive a response. The tool is designed as an experiment to engage users in a unique and interactive way. By signing up, users can be the first to receive future AI drops from the platform.

Bloombot is an AI-powered chat application that revolutionizes the learning experience. It offers a subversive and experimental AI tutor for free, allowing users to self-host their own version via the tutor-gpt repository on GitHub. Bloombot is developed by Plastic Labs and is at the forefront of novel machine learning research. The application aims to inform the future of learning by providing a unique and interactive platform for users to enhance their knowledge and skills.

The AI Website & Landing Pages tool allows users to create AI-designed websites and landing pages in just 10 seconds. It offers a streamlined experience with features such as AI design and copy, free and custom domains, analytics and insights, A/B testing, AI sales and support chatbot, SEO optimization, free image and video library, custom forms, webhook integration, auto page translation, high-speed streaming, adaptive design, curated playlists, and more. Users can optimize their results with AB testing, AI-generated versions, quick experiments, and in-depth reports. The tool also enables users to run ads globally, create multilingual landing pages, and reach a global audience with fast campaigns. It provides effortless editing with 1-click edit and publish functionality, instant previews, and seamless publishing. The tool is user-friendly, requiring no code or drag-and-drop actions, making website and landing page creation quick and easy.

Coachvox AI is a tool that allows you to create an AI version of yourself to generate leads, engage with your audience, and provide 24/7 support. It is trained on your content and style, so it can answer questions and provide information in a way that is unique to you. Coachvox AI can be used as a lead magnet, a value-add for existing clients, a paid product, or an internal resource for your team.

Outlit is a contract management software that uses AI to help companies reduce overhead costs and streamline workflows. It automates manual, tedious, and costly tasks such as risk analysis, negotiation, and contract knowledge base creation.

Jamorphosia is an AI-powered application that allows users to remove instruments from a song. With advanced technology and audio separation capabilities, users can easily extract vocals, isolate specific instruments, and create custom backing tracks. The tool transforms audio files into personalized songs, suitable for practice or performance. Jamorphosia enhances the music experience by providing a platform for musicians to engage with original tracks in a more immersive way.

BugFree.ai is an AI-powered platform designed to help users practice system design and behavior interviews, similar to Leetcode. The platform offers a range of features to assist users in preparing for technical interviews, including mock interviews, real-time feedback, and personalized study plans. With BugFree.ai, users can improve their problem-solving skills and gain confidence in tackling complex interview questions.

Code Snippets AI is an AI-powered code snippets library for teams. It helps developers master their codebase with contextually-rich AI chats, integrated with a secure code snippets library. Developers can build new features, fix bugs, add comments, and understand their codebase with the help of Code Snippets AI. The tool is trusted by the best development teams and helps developers code smarter than ever. With Code Snippets AI, developers can leverage the power of a codebase aware assistant, helping them write clean, performance optimized code. They can also create documentation, refactor, debug and generate code with full codebase context. This helps developers spend more time creating code and less time debugging errors.

Apiversion.dev is an AI-powered API versioning platform that helps developers manage and version their APIs. It provides a range of features to make API versioning easier, including automatic versioning, version deprecation, and version promotion. Apiversion.dev also integrates with popular CI/CD tools to automate the API versioning process.

The website appears to be experiencing technical difficulties, as indicated by the '502 Bad Gateway' error message. This error typically occurs when a server acting as a gateway or proxy receives an invalid response from an upstream server. The 'nginx' reference suggests that the website is using the Nginx web server software. Users encountering a 502 error may need to wait for the issue to be resolved by the website's administrators.

TrainMyAI is a comprehensive solution for creating AI chatbots using retrieval augmented generation (RAG) technology. It allows users to build custom AI chatbots on their servers, enabling interactions over WhatsApp, web, and private APIs. The platform offers deep customization options, fine-grained user management, usage history tracking, content optimization, and linked citations. With TrainMyAI, users can maintain full control over their AI models and data, either on-premise or in the cloud.

The website seems to be experiencing technical difficulties as it is showing a '502 Bad Gateway' error message. This error typically occurs when a server acting as a gateway or proxy received an invalid response from an upstream server. The message '502 Bad Gateway' is a standard response code in HTTP status messages, indicating that the server was not able to get a valid or any response from the upstream server it accessed. This issue may be temporary and can be resolved by the website administrators by fixing the server configuration or addressing any connectivity problems.

Project Infinite is a revolutionary platform that empowers you to create an AI-powered version of yourself, ensuring your stories, wisdom, and legacy live on for generations to come. Through an intuitive storytelling platform, you can share your experiences, thoughts, and memories, which are then synthesized by advanced AI algorithms to create a dynamic digital persona that mimics your speech patterns, values, and even sense of humor. This Infinite Avatar can interact with your loved ones anytime, anywhere, providing guidance, inspiration, and a comforting connection to your presence.

stupidgpt.lol is a website that is currently for sale. The domain owner has generated this webpage using Sedo Domain Parking. The website does not offer any specific AI tool or application but serves as a platform for selling the domain. It is important to note that Sedo, the service used for domain parking, is not associated with any third-party advertisers. The website provides information about the domain being for sale and includes a disclaimer regarding Sedo's relationship with advertisers and trademarks.

Spheria is a no-code platform that allows users to create their own official AI clone, which learns directly from the user's experiences, skills, and life stories. Unlike other AI tools that rely on generic data, Spheria celebrates individuality and personal growth. The platform emphasizes privacy, ethics, and user control over data, offering a secure environment for users to interact with their AI double.

SecondSoul is an AI platform that enables users to create their AI clone for engaging 24/7 conversations on Telegram. It allows users to customize their AI clone with unique traits, voice, and train it to mimic their style. The platform offers a straightforward pricing model with a revenue split, where creators earn 80% of the messages fee from users of their clone. SecondSoul aims to enhance user experience, provide companionship, and monetize community interactions through AI technology.

This repository contains code and results for jailbreaking leading safety-aligned LLMs with simple adaptive attacks. We show that even the most recent safety-aligned LLMs are not robust to simple adaptive jailbreaking attacks. We demonstrate how to successfully leverage access to logprobs for jailbreaking: we initially design an adversarial prompt template (sometimes adapted to the target LLM), and then we apply random search on a suffix to maximize the target logprob (e.g., of the token ``Sure''), potentially with multiple restarts. In this way, we achieve nearly 100% attack success rate---according to GPT-4 as a judge---on GPT-3.5/4, Llama-2-Chat-7B/13B/70B, Gemma-7B, and R2D2 from HarmBench that was adversarially trained against the GCG attack. We also show how to jailbreak all Claude models---that do not expose logprobs---via either a transfer or prefilling attack with 100% success rate. In addition, we show how to use random search on a restricted set of tokens for finding trojan strings in poisoned models---a task that shares many similarities with jailbreaking---which is the algorithm that brought us the first place in the SaTML'24 Trojan Detection Competition. The common theme behind these attacks is that adaptivity is crucial: different models are vulnerable to different prompting templates (e.g., R2D2 is very sensitive to in-context learning prompts), some models have unique vulnerabilities based on their APIs (e.g., prefilling for Claude), and in some settings it is crucial to restrict the token search space based on prior knowledge (e.g., for trojan detection).

DagsHub is a platform for machine learning and data science teams to build, manage, and collaborate on their projects. With DagsHub you can: 1. Version code, data, and models in one place. Use the free provided DagsHub storage or connect it to your cloud storage 2. Track Experiments using Git, DVC or MLflow, to provide a fully reproducible environment 3. Visualize pipelines, data, and notebooks in and interactive, diff-able, and dynamic way 4. Label your data directly on the platform using Label Studio 5. Share your work with your team members 6. Stream and upload your data in an intuitive and easy way, while preserving versioning and structure. DagsHub is built firmly around open, standard formats for your project. In particular: * Git * DVC * MLflow * Label Studio * Standard data formats like YAML, JSON, CSV Therefore, you can work with DagsHub regardless of your chosen programming language or frameworks.

DVC, or Data Version Control, is a command-line tool and VS Code extension that helps you develop reproducible machine learning projects. With DVC, you can version your data and models, iterate fast with lightweight pipelines, track experiments in your local Git repo, compare any data, code, parameters, model, or performance plots, and share experiments and automatically reproduce anyone's experiment.

Neptune is a scalable experiment tracker for teams training foundation models. Log millions of runs, effortlessly monitor and visualize model training, and deploy on your infrastructure. Track 100% of metadata to accelerate AI breakthroughs. Log and display any framework and metadata type from any ML pipeline. Organize experiments with nested structures and custom dashboards. Compare results, visualize training, and optimize models quicker. Version models, review stages, and access production-ready models. Share results, manage users, and projects. Integrate with 25+ frameworks. Trusted by great companies to improve workflow.

This repository contains the complete archive of the 2024 version of the 'Intelligent Computing System' experiment at the University of Chinese Academy of Sciences. The experiment content for 2024 has undergone extensive adjustments to the knowledge system and experimental topics, including the transition from TensorFlow to PyTorch, significant modifications to previous code, and the addition of experiments with large models. The project is continuously updated in line with the course progress, currently up to the seventh experiment. Updates include the addition of experiments like YOLOv5 in Experiment 5-3, updates to theoretical teaching materials, and fixes for bugs in Experiment 6 code. The repository also includes experiment manuals, questions, and answers for various experiments, with some data sets hosted on Baidu Cloud due to size limitations on GitHub.

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.

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.

ClearML Server is a backend service infrastructure for ClearML, facilitating collaboration and experiment management. It includes a web app, RESTful API, and file server for storing images and models. Users can deploy ClearML Server using Docker, AWS EC2 AMI, or Kubernetes. The system design supports single IP or sub-domain configurations with specific open ports. ClearML-Agent Services container allows launching long-lasting jobs and various use cases like auto-scaler service, controllers, optimizer, and applications. Advanced functionality includes web login authentication and non-responsive experiments watchdog. Upgrading ClearML Server involves stopping containers, backing up data, downloading the latest docker-compose.yml file, configuring ClearML-Agent Services, and spinning up docker containers. Community support is available through ClearML FAQ, Stack Overflow, GitHub issues, and email contact.

OSWorld is a benchmarking tool designed to evaluate multimodal agents for open-ended tasks in real computer environments. It provides a platform for running experiments, setting up virtual machines, and interacting with the environment using Python scripts. Users can install the tool on their desktop or server, manage dependencies with Conda, and run benchmark tasks. The tool supports actions like executing commands, checking for specific results, and evaluating agent performance. OSWorld aims to facilitate research in AI by providing a standardized environment for testing and comparing different agent baselines.

MisguidedAttention is a collection of prompts designed to challenge the reasoning abilities of large language models by presenting them with modified versions of well-known thought experiments, riddles, and paradoxes. The goal is to assess the logical deduction capabilities of these models and observe any shortcomings or fallacies in their responses. The repository includes a variety of prompts that test different aspects of reasoning, such as decision-making, probability assessment, and problem-solving. By analyzing how language models handle these challenges, researchers can gain insights into their reasoning processes and potential biases.

FastTrackML is an experiment tracking server focused on speed and scalability, fully compatible with MLFlow. It provides a user-friendly interface to track and visualize your machine learning experiments, making it easy to compare different models and identify the best performing ones. FastTrackML is open source and can be easily installed and run with pip or Docker. It is also compatible with the MLFlow Python package, making it easy to integrate with your existing MLFlow workflows.

AIW is a code base for experiments and raw data related to Alice in Wonderland, showcasing complete reasoning breakdown in state-of-the-art large language models. Users can collect experiments data using LiteLLM and TogetherAI, and plot the data using provided scripts. The tool allows for executing experiments over LiteLLM and lmsys, with options for different prompt types and AIW variations. The project also includes acknowledgments and a citation for reference.

Weights & Biases (W&B) is a platform that helps users build better machine learning models faster by tracking and visualizing all components of the machine learning pipeline, from datasets to production models. It offers tools for tracking, debugging, evaluating, and monitoring machine learning applications. W&B provides integrations with popular frameworks like PyTorch, TensorFlow/Keras, Hugging Face Transformers, PyTorch Lightning, XGBoost, and Sci-Kit Learn. Users can easily log metrics, visualize performance, and compare experiments using W&B. The platform also supports hosting options in the cloud or on private infrastructure, making it versatile for various deployment needs.

AgentLab is an open, easy-to-use, and extensible framework designed to accelerate web agent research. It provides features for developing and evaluating agents on various benchmarks supported by BrowserGym. The framework allows for large-scale parallel agent experiments using ray, building blocks for creating agents over BrowserGym, and a unified LLM API for OpenRouter, OpenAI, Azure, or self-hosted using TGI. AgentLab also offers reproducibility features, a unified LeaderBoard, and supports multiple benchmarks like WebArena, WorkArena, WebLinx, VisualWebArena, AssistantBench, GAIA, Mind2Web-live, and MiniWoB.

SwiftSage is a tool designed for conducting experiments in the field of machine learning and artificial intelligence. It provides a platform for researchers and developers to implement and test various algorithms and models. The tool is particularly useful for exploring new ideas and conducting experiments in a controlled environment. SwiftSage aims to streamline the process of developing and testing machine learning models, making it easier for users to iterate on their ideas and achieve better results. With its user-friendly interface and powerful features, SwiftSage is a valuable tool for anyone working in the field of AI and ML.

This repository contains code and data for replicating experiments on Long-Term Memory (LTM) abilities of conversational agents. It includes a benchmark for testing agents' memory performance over long conversations, evaluating tasks requiring dynamic memory upkeep and information integration. The repository supports various models, datasets, and configurations for benchmarking and reporting results.

ChatAFL is a protocol fuzzer guided by large language models (LLMs) that extracts machine-readable grammar for protocol mutation, increases message diversity, and breaks coverage plateaus. It integrates with ProfuzzBench for stateful fuzzing of network protocols, providing smooth integration. The artifact includes modified versions of AFLNet and ProfuzzBench, source code for ChatAFL with proposed strategies, and scripts for setup, execution, analysis, and cleanup. Users can analyze data, construct plots, examine LLM-generated grammars, enriched seeds, and state-stall responses, and reproduce results with downsized experiments. Customization options include modifying fuzzers, tuning parameters, adding new subjects, troubleshooting, and working on GPT-4. Limitations include interaction with OpenAI's Large Language Models and a hard limit of 150,000 tokens per minute.

Pax is a framework to configure and run machine learning experiments on top of Jax.

Backend.AI Web UI is a user-friendly web and app interface designed to make AI accessible for end-users, DevOps, and SysAdmins. It provides features for session management, inference service management, pipeline management, storage management, node management, statistics, configurations, license checking, plugins, help & manuals, kernel management, user management, keypair management, manager settings, proxy mode support, service information, and integration with the Backend.AI Web Server. The tool supports various devices, offers a built-in websocket proxy feature, and allows for versatile usage across different platforms. Users can easily manage resources, run environment-supported apps, access a web-based terminal, use Visual Studio Code editor, manage experiments, set up autoscaling, manage pipelines, handle storage, monitor nodes, view statistics, configure settings, and more.

Tutor-GPT is an LLM powered learning companion developed by Plastic Labs. It dynamically reasons about your learning needs and updates its own prompts to best serve you. It is an expansive learning companion that uses theory of mind experiments to provide personalized learning experiences. The project is split into different modules for backend logic, including core logic, discord bot implementation, FastAPI API interface, NextJS web front end, common utilities, and SQL scripts for setting up local supabase. Tutor-GPT is powered by Honcho to build robust user representations and create personalized experiences for each user. Users can run their own instance of the bot by following the provided instructions.

A multilingual equity classroom bridging educational gaps by translating and adapting school tasks to fit every family's native language, language level, and cultural background. (Experimental Beta version)

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ForexGPT's free version pulls real-time rates for forex pairs & prices for finance symbols such as bitcoin and stock market indices (i.e. SPX500, NAS100, BTCUSD, EURUSD), performs market forecasts and analysis, w/ prompt-generated chart links to our custom TradingView charts. Not financial advice.

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Taiwan Wild Creek Hot Spring Exploration

Versión digital de Kiko Palomares. Pregunta lo que le preguntarías al verdadero.

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This version of AB is no longer being developed, the NEW version can be found at: https://chat.openai.com/g/g-WX9h4f6Lj-advisory-board Meet the ADVISORY BOARD v1.1! We're your personalized council of virtual experts designed to assist you in navigating through complex challenges and inquiries.

A trial version of AVA 2.0, the World's first AI Interview Platform for Medical School Interview Interviews - https://ai.theaspiringmedics.co.uk/

Unity development assistant for version-specific advice

A simulated web version of Apple's Siri, powered by GPT-4 by OpenAI.

This is the AI version of David Teten of Coolwater Capital. David is Founder of PEVCtech.com, FoundersNextMove.com, and VersatileVC.com.