AI tools for Google Colab integration
Related Tools:
Unsloth
Unsloth is an AI tool designed to make finetuning large language models like Llama-3, Mistral, Phi-3, and Gemma 2x faster, use 70% less memory, and with no degradation in accuracy. The tool provides documentation to help users navigate through training their custom models, covering essentials such as installing and updating Unsloth, creating datasets, running, and deploying models. Users can also integrate third-party tools and utilize platforms like Google Colab.
Google Colab Copilot
Google Colab Copilot is an AI tool that integrates the GitHub Copilot functionality into Google Colab, allowing users to easily generate code suggestions and improve their coding workflow. By following a simple setup guide, users can start using the tool to enhance their coding experience and boost productivity. With features like code generation, auto-completion, and real-time suggestions, Google Colab Copilot is a valuable tool for developers looking to streamline their coding process.
Google Colab
Google Colab, short for Google Colaboratory, is a free cloud service that supports Python programming and machine learning. It's a dynamic tool that enables users to write and execute Python code through a web-based interface, providing access to powerful computing resources without the need for local setup. Google Colab is particularly useful for data scientists, researchers, and students who require a convenient and accessible platform for developing and experimenting with machine learning models.
Google Colab
Google Colab is a free Jupyter notebook environment that runs in the cloud. It allows you to write and execute Python code without having to install any software or set up a local environment. Colab notebooks are shareable, so you can easily collaborate with others on projects.
CodeSquire
CodeSquire is an AI-powered code writing assistant that helps data scientists, engineers, and analysts write code faster and more efficiently. It provides code completions and suggestions as you type, and can even generate entire functions and SQL queries. CodeSquire is available as a Chrome extension and works with Google Colab, BigQuery, and JupyterLab.
Google is a search engine that helps users find information on the World Wide Web. It is the most popular search engine in the world, with over 90% of the global search market share. Google also offers a variety of other products and services, including Gmail, Google Drive, and Google Maps.
Google Play
The website is a platform for Android apps available on Google Play. It features a wide range of games, movies, books, and kids' content. Users can explore and download various apps, make payments, redeem offers, and personalize their experience. The platform also provides updates on popular apps, in-app purchases, and upcoming releases.
Google Chrome
Google Chrome is a fast and secure web browser developed by Google. It is designed to provide a smooth browsing experience across different platforms. The browser offers features like Energy Saver and Memory Saver to optimize performance, tab management tools for organization, and automatic updates every four weeks. Additionally, Chrome integrates AI innovations such as Google Lens for visual search, AI-powered writing assistance, tab organization suggestions, and generative themes for personalized browsing. It also prioritizes safety with features like Password Manager, Enhanced Safe Browsing, Safety Check, and Privacy Guide.
Google Workspace
Google Workspace is a suite of productivity and collaboration tools designed for individuals, businesses, and enterprises. It includes popular applications like Gmail, Calendar, Drive, Meet, and more. With the addition of Gemini for Workspace, an AI-powered assistant integrated into various tools, users can enhance productivity and collaboration. The platform offers a range of plans tailored to meet diverse business needs, providing features for communication, document management, and team collaboration.
Google AI
Google AI is a research and development laboratory focused on advancing the state-of-the-art in artificial intelligence. The company's mission is to develop AI that is beneficial to humanity, and its research focuses on a wide range of topics, including machine learning, computer vision, natural language processing, and robotics. Google AI has developed a number of products and services that use AI, including the Google Assistant, Google Translate, and Gmail's spam filter. The company is also working on developing new AI applications for healthcare, transportation, and other industries.
Google Labs
Google Labs is a website that showcases experimental AI tools and technology developed by Google. These tools are designed to help users explore the potential of AI in various fields, including creativity, productivity, and education. Some of the featured tools include: - **LABS.GOOGLE**: A platform for experimenting with the future of AI, including tools for creating images from text, generating music, and writing scripts for home automation. - **NotebookLM**: A personalized AI collaborator designed to help users with their thinking and writing. - **Say What You See**: A tool that helps users learn the art of prompting and improving their image-reading skills. - **Help Me Script**: A tool that turns text into home automation scripts for Google Home. - **ImageFX**: A tool that transforms text into images, allowing users to explore endless possibilities. - **Gen AI in Chrome**: A tool that creates themes with AI, organizes tabs, and helps users write more confidently on the web. - **MusicFX**: A tool that describes a musical idea and brings it to life. - **Duet AI**: A tool that helps users create, write, visualize, and organize in new ways with collaborative AI tools in Google Workspace. - **TextFX**: A tool that supercharges the writing process with AI-powered language tools.
Google Gemma
Google Gemma is a lightweight, state-of-the-art open language model (LLM) developed by Google. It is part of the same research used in the creation of Google's Gemini models. Gemma models come in two sizes, the 2B and 7B parameter versions, where each has a base (pre-trained) and instruction-tuned modifications. Gemma models are designed to be cross-device compatible and optimized for Google Cloud and NVIDIA GPUs. They are also accessible through Kaggle, Hugging Face, Google Cloud with Vertex AI or GKE. Gemma models can be used for a variety of applications, including text generation, summarization, RAG, and both commercial and research use.
Google Research
Google Research is a team of scientists and engineers working on a wide range of topics in computer science, including artificial intelligence, machine learning, and quantum computing. Our mission is to advance the state of the art in these fields and to develop new technologies that can benefit society. We publish hundreds of research papers each year and collaborate with researchers from around the world. Our work has led to the development of many new products and services, including Google Search, Google Translate, and Google Maps.
Google Cloud
Google Cloud is a suite of cloud computing services that runs on the same infrastructure as Google. Its services include computing, storage, networking, databases, machine learning, and more. Google Cloud is designed to make it easy for businesses to develop and deploy applications in the cloud. It offers a variety of tools and services to help businesses with everything from building and deploying applications to managing their infrastructure. Google Cloud is also committed to sustainability, and it has a number of programs in place to reduce its environmental impact.
Google Drive
Google Drive is a cloud-based storage and file-sharing service that allows users to store, share, and collaborate on files from any device. It is part of the Google Workspace suite of productivity tools, which also includes Gmail, Docs, Sheets, and Slides. Drive is designed to be easy to use and secure, and it offers a variety of features that make it a valuable tool for businesses and individuals alike.
Google DeepMind
Google DeepMind is a British artificial intelligence research laboratory owned by Google. The company was founded in 2010 by Demis Hassabis, Shane Legg, and Mustafa Suleyman. DeepMind's mission is to develop safe and beneficial artificial intelligence. The company's research focuses on a variety of topics, including machine learning, reinforcement learning, and computer vision. DeepMind has made significant contributions to the field of artificial intelligence, including the development of AlphaGo, the first computer program to defeat a professional human Go player.
Google Store
The Google Store is the official online store for Google-made devices and accessories. It offers a wide range of products, including phones, earbuds, watches, trackers, smart home devices, and accessories. The store also provides helpful resources, such as product reviews, tutorials, and support. The Google Store is a great place to find the latest Google products and accessories, and to get help with your devices.
Google Patents
Google Patents is a search engine that allows users to search through the full text of patents that have been granted by the United States Patent and Trademark Office (USPTO). The database includes patents from 1790 to the present day, and users can search by keyword, inventor, assignee, or patent number. Google Patents also provides access to images of the original patent documents, as well as links to related patents and articles.
Google for Developers
Google for Developers provides developers with tools, resources, and documentation to build apps for Android, Chrome, ChromeOS, Cloud, Firebase, Flutter, Google AI Studio, Google Maps Platform, Google Workspace, TensorFlow, and YouTube. It also offers programs and events for developers to learn and connect with each other.
Google Cloud Service Health Console
Google Cloud Service Health Console provides status information on the services that are part of Google Cloud. It allows users to check the current status of services, view detailed overviews of incidents affecting their Google Cloud projects, and access custom alerts, API data, and logs through the Personalized Service Health dashboard. The console also offers a global view of the status of specific globally distributed services and allows users to check the status by product and location.
GA4 Implementation Assistant
A helper for implementing Google Analytics 4 with tips and troubleshooting.
Sandeep Amar Search Console Sage
This GPT answers all the questions related to Google Search Console
Ads Wizard
Guides Google Ads creation with personalized, industry-specific marketing strategies.
Sheets Expert
Master the art of Google Sheets with an assistant who can do everything from answer questions about basic features, explain functions in an eloquent and succinct manner, simplify the most complex formulas into easy steps, and help you identify techniques to effectively visualize your data.
GASGPT
Soy un experto en Google Apps Script que ayuda a los principiantes, hablo principalmente español.
MixerBox ChatGSlide
Your AI Google Slides assistant! Effortlessly locate, manage, and summarize your presentations!
The Dorker
I help create precise Google Dork search strings using advanced search operators.
GAds Script Coding Assistant
Expert in Google Ads scripts, providing current info and writing JavaScript code.
Ollama-Colab-Integration
Ollama Colab Integration V4 is a tool designed to enhance the interaction and management of large language models. It allows users to quantize models within their notebook environment, access a variety of models through a user-friendly interface, and manage public endpoints efficiently. The tool also provides features like LiteLLM proxy control, model insights, and customizable model file templating. Users can troubleshoot model loading issues, CPU fallback strategies, and manage VRAM and RAM effectively. Additionally, the tool offers functionalities for downloading model files from Hugging Face, model conversion with high precision, model quantization using Q and Kquants, and securely uploading converted models to Hugging Face.
audio-webui
Audio Webui is a tool designed to provide a user-friendly interface for audio processing tasks. It supports automatic installers, Docker deployment, local manual installation, Google Colab integration, and common command line flags. Users can easily download, install, update, and run the tool for various audio-related tasks. The tool requires Python 3.10, Git, and ffmpeg for certain features. It also offers extensions for additional functionalities.
fast-llm-security-guardrails
ZenGuard AI enables AI developers to integrate production-level, low-code LLM (Large Language Model) guardrails into their generative AI applications effortlessly. With ZenGuard AI, ensure your application operates within trusted boundaries, is protected from prompt injections, and maintains user privacy without compromising on performance.
ai-edge-torch
AI Edge Torch is a Python library that supports converting PyTorch models into a .tflite format for on-device applications on Android, iOS, and IoT devices. It offers broad CPU coverage with initial GPU and NPU support, closely integrating with PyTorch and providing good coverage of Core ATen operators. The library includes a PyTorch converter for model conversion and a Generative API for authoring mobile-optimized PyTorch Transformer models, enabling easy deployment of Large Language Models (LLMs) on mobile devices.
summarize
The 'summarize' tool is designed to transcribe and summarize videos from various sources using AI models. It helps users efficiently summarize lengthy videos, take notes, and extract key insights by providing timestamps, original transcripts, and support for auto-generated captions. Users can utilize different AI models via Groq, OpenAI, or custom local models to generate grammatically correct video transcripts and extract wisdom from video content. The tool simplifies the process of summarizing video content, making it easier to remember and reference important information.
tts-generation-webui
TTS Generation WebUI is a comprehensive tool that provides a user-friendly interface for text-to-speech and voice cloning tasks. It integrates various AI models such as Bark, MusicGen, AudioGen, Tortoise, RVC, Vocos, Demucs, SeamlessM4T, and MAGNeT. The tool offers one-click installers, Google Colab demo, videos for guidance, and extra voices for Bark. Users can generate audio outputs, manage models, caches, and system space for AI projects. The project is open-source and emphasizes ethical and responsible use of AI technology.
learn-modern-ai-python
This repository is part of the Certified Agentic & Robotic AI Engineer program, covering the first quarter of the course work. It focuses on Modern AI Python Programming, emphasizing static typing for robust and scalable AI development. The course includes modules on Python fundamentals, object-oriented programming, advanced Python concepts, AI-assisted Python programming, web application basics with Python, and the future of Python in AI. Upon completion, students will be able to write proficient Modern Python code, apply OOP principles, implement asynchronous programming, utilize AI-powered tools, develop basic web applications, and understand the future directions of Python in AI.
beyondllm
Beyond LLM offers an all-in-one toolkit for experimentation, evaluation, and deployment of Retrieval-Augmented Generation (RAG) systems. It simplifies the process with automated integration, customizable evaluation metrics, and support for various Large Language Models (LLMs) tailored to specific needs. The aim is to reduce LLM hallucination risks and enhance reliability.
metavoice-src
MetaVoice-1B is a 1.2B parameter base model trained on 100K hours of speech for TTS (text-to-speech). It has been built with the following priorities: * Emotional speech rhythm and tone in English. * Zero-shot cloning for American & British voices, with 30s reference audio. * Support for (cross-lingual) voice cloning with finetuning. * We have had success with as little as 1 minute training data for Indian speakers. * Synthesis of arbitrary length text
CoML
CoML (formerly MLCopilot) is an interactive coding assistant for data scientists and machine learning developers, empowered on large language models. It offers an out-of-the-box interactive natural language programming interface for data mining and machine learning tasks, integration with Jupyter lab and Jupyter notebook, and a built-in large knowledge base of machine learning to enhance the ability to solve complex tasks. The tool is designed to assist users in coding tasks related to data analysis and machine learning using natural language commands within Jupyter environments.
text-generation-webui-telegram_bot
The text-generation-webui-telegram_bot is a wrapper and extension for llama.cpp, exllama, or transformers, providing additional functionality for the oobabooga/text-generation-webui tool. It enhances Telegram chat with features like buttons, prefixes, and voice/image generation. Users can easily install and run the tool as a standalone app or in extension mode, enabling seamless integration with the text-generation-webui tool. The tool offers various features such as chat templates, session history, character loading, model switching during conversation, voice generation, auto-translate, and more. It supports different bot modes for personalized interactions and includes configurations for running in different environments like Google Colab. Additionally, users can customize settings, manage permissions, and utilize various prefixes to enhance the chat experience.
ai-tutor-rag-system
The AI Tutor RAG System repository contains Jupyter notebooks supporting the RAG course, focusing on enhancing AI models with retrieval-based methods. It covers foundational and advanced concepts in retrieval-augmented generation, including data retrieval techniques, model integration with retrieval systems, and practical applications of RAG in real-world scenarios.
paig
PAIG is an open-source project focused on protecting Generative AI applications by ensuring security, safety, and observability. It offers a versatile framework to address the latest security challenges and integrate point security solutions without rewriting applications. The project aims to provide a secure environment for developing and deploying GenAI applications.
wandb
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.
upgini
Upgini is an intelligent data search engine with a Python library that helps users find and add relevant features to their ML pipeline from various public, community, and premium external data sources. It automates the optimization of connected data sources by generating an optimal set of machine learning features using large language models, GraphNNs, and recurrent neural networks. The tool aims to simplify feature search and enrichment for external data to make it a standard approach in machine learning pipelines. It democratizes access to data sources for the data science community.
LLaVA-pp
This repository, LLaVA++, extends the visual capabilities of the LLaVA 1.5 model by incorporating the latest LLMs, Phi-3 Mini Instruct 3.8B, and LLaMA-3 Instruct 8B. It provides various models for instruction-following LMMS and academic-task-oriented datasets, along with training scripts for Phi-3-V and LLaMA-3-V. The repository also includes installation instructions and acknowledgments to related open-source contributions.
agentql
AgentQL is a suite of tools for extracting data and automating workflows on live web sites featuring an AI-powered query language, Python and JavaScript SDKs, a browser-based debugger, and a REST API endpoint. It uses natural language queries to pinpoint data and elements on any web page, including authenticated and dynamically generated content. Users can define structured data output and apply transforms within queries. AgentQL's natural language selectors find elements intuitively based on the content of the web page and work across similar web sites, self-healing as UI changes over time.
chroma
Chroma is an open-source embedding database that provides a simple, scalable, and feature-rich way to build Python or JavaScript LLM apps with memory. It offers a fully-typed, fully-tested, and fully-documented API that makes it easy to get started and scale your applications. Chroma also integrates with popular tools like LangChain and LlamaIndex, and supports a variety of embedding models, including Sentence Transformers, OpenAI embeddings, and Cohere embeddings. With Chroma, you can easily add documents to your database, query relevant documents with natural language, and compose documents into the context window of an LLM like GPT3 for additional summarization or analysis.
ai-accelerators
DataRobot AI Accelerators are code-first workflows to speed up model development, deployment, and time to value using the DataRobot API. The accelerators include approaches for specific business challenges, generative AI, ecosystem integration templates, and advanced ML and API usage. Users can clone the repo, import desired accelerators into notebooks, execute them, learn and modify content to solve their own problems.
MarkLLM
MarkLLM is an open-source toolkit designed for watermarking technologies within large language models (LLMs). It simplifies access, understanding, and assessment of watermarking technologies, supporting various algorithms, visualization tools, and evaluation modules. The toolkit aids researchers and the community in ensuring the authenticity and origin of machine-generated text.