AI tools for cortex AI tool documentation
Related Tools:
Alt Cortex
Alt Cortex is an AI-powered news aggregation tool designed to help users curate, organize, summarize, and share content effortlessly. It leverages advanced technologies like vector search and OpenAI to provide users with relevant and concise insights. With features such as source control, automated updates, semantic categorization, intelligent summaries, and various sharing options, Alt Cortex aims to enhance user engagement and content clarity. The platform caters to a wide range of industries and purposes, offering solutions for content creators, educators, e-commerce sites, news outlets, corporate knowledge hubs, event organizers, nonprofits, health coaches, travel bloggers, real estate platforms, financial advisors, food bloggers, and more.
CEBRA
CEBRA is a machine-learning method that compresses time series data to reveal hidden structures in the variability of the data. It excels in analyzing behavioral and neural data simultaneously, allowing for the decoding of activity from the visual cortex of the mouse brain to reconstruct viewed videos. CEBRA is a novel encoding method that leverages both behavioral and neural data to produce consistent and high-performance latent spaces, enabling the mapping of space, uncovering complex kinematic features, and providing rapid, high-accuracy decoding of natural movies from the visual cortex.
Cortex Labs
Cortex Labs is a decentralized world computer that enables AI and AI-powered decentralized applications (dApps) to run on the blockchain. It offers a Layer2 solution called ZkMatrix, which utilizes zkRollup technology to enhance transaction speed and reduce fees. Cortex Virtual Machine (CVM) supports on-chain AI inference using GPU, ensuring deterministic results across computing environments. Cortex also enables machine learning in smart contracts and dApps, fostering an open-source ecosystem for AI researchers and developers to share models. The platform aims to solve the challenge of on-chain machine learning execution efficiently and deterministically, providing tools and resources for developers to integrate AI into blockchain applications.
Blockbrain
Blockbrain is an AI-driven platform that helps businesses transform their unique knowledge into a competitive advantage. The platform streamlines processes, enhances communication, and boosts profitability while ensuring the security of valuable company information. It offers AI-powered solutions for sales productivity, machinery maintenance, digital twin implementation, and compliance automation. Blockbrain's Knowledge Bots, Cortex Data Vault, and measurable benefits for businesses make it a trusted choice for Mittelstand industry leaders.
Zamora Labs
Zamora Labs is an AI-driven platform that focuses on innovation in education and immigration. The platform offers cutting-edge solutions powered by ResidentIA and CortexAI technologies. It leverages artificial intelligence to enhance learning experiences, streamline immigration processes, and provide personalized services to users. Zamora Labs aims to revolutionize the education and immigration sectors by harnessing the power of AI to deliver efficient and effective solutions.
cortex
Cortex is a tool that simplifies and accelerates the process of creating applications utilizing modern AI models like chatGPT and GPT-4. It provides a structured interface (GraphQL or REST) to a prompt execution environment, enabling complex augmented prompting and abstracting away model connection complexities like input chunking, rate limiting, output formatting, caching, and error handling. Cortex offers a solution to challenges faced when using AI models, providing a simple package for interacting with NL AI models.
examples
Cerebrium's official examples repository provides practical, ready-to-use examples for building Machine Learning / AI applications on the platform. The repository contains self-contained projects demonstrating specific use cases with detailed instructions on deployment. Examples cover a wide range of categories such as getting started, advanced concepts, endpoints, integrations, large language models, voice, image & video, migrations, application demos, batching, and Python apps.
Awesome-Embedded
Awesome-Embedded is a curated list of resources for embedded systems enthusiasts. It covers a wide range of topics including MCU programming, RTOS, Linux kernel development, assembly programming, machine learning & AI on MCU, utilities, tips & tricks, and more. The repository provides valuable information, tutorials, and tools for individuals interested in embedded systems development.
OSHW-SenseCAP-Watcher
SenseCAP Watcher is a monitoring device built on ESP32S3 with Himax WiseEye2 HX6538 AI chip, excelling in image and vector data processing. It features a camera, microphone, and speaker for visual, auditory, and interactive capabilities. With LLM-enabled SenseCraft suite, it understands commands, perceives surroundings, and triggers actions. The repository provides firmware, hardware documentation, and applications for the Watcher, along with detailed guides for setup, task assignment, and firmware flashing.
cortex.cpp
Cortex is a C++ AI engine with a Docker-like command-line interface and client libraries. It supports running AI models using ONNX, TensorRT-LLM, and llama.cpp engines. Cortex can function as a standalone server or be integrated as a library. The tool provides support for various engines and models, allowing users to easily deploy and interact with AI models. It offers a range of CLI commands for managing models, embeddings, and engines, as well as a REST API for interacting with models. Cortex is designed to simplify the deployment and usage of AI models in C++ applications.
cortex.cpp
Cortex.cpp is an open-source platform designed as the brain for robots, offering functionalities such as vision, speech, language, tabular data processing, and action. It provides an AI platform for running AI models with multi-engine support, hardware optimization with automatic GPU detection, and an OpenAI-compatible API. Users can download models from the Hugging Face model hub, run models, manage resources, and access advanced features like multiple quantizations and engine management. The tool is under active development, promising rapid improvements for users.
project_alice
Alice is an agentic workflow framework that integrates task execution and intelligent chat capabilities. It provides a flexible environment for creating, managing, and deploying AI agents for various purposes, leveraging a microservices architecture with MongoDB for data persistence. The framework consists of components like APIs, agents, tasks, and chats that interact to produce outputs through files, messages, task results, and URL references. Users can create, test, and deploy agentic solutions in a human-language framework, making it easy to engage with by both users and agents. The tool offers an open-source option, user management, flexible model deployment, and programmatic access to tasks and chats.
aider-desk
AiderDesk is a desktop application that enhances coding workflow by leveraging AI capabilities. It offers an intuitive GUI, project management, IDE integration, MCP support, settings management, cost tracking, structured messages, visual file management, model switching, code diff viewer, one-click reverts, and easy sharing. Users can install it by downloading the latest release and running the executable. AiderDesk also supports Python version detection and auto update disabling. It includes features like multiple project management, context file management, model switching, chat mode selection, question answering, cost tracking, MCP server integration, and MCP support for external tools and context. Development setup involves cloning the repository, installing dependencies, running in development mode, and building executables for different platforms. Contributions from the community are welcome following specific guidelines.
cortex
Nitro is a high-efficiency C++ inference engine for edge computing, powering Jan. It is lightweight and embeddable, ideal for product integration. The binary of nitro after zipped is only ~3mb in size with none to minimal dependencies (if you use a GPU need CUDA for example) make it desirable for any edge/server deployment.
ai-playground
The ai-playground repository contains code from tutorials presented on the Code AI with Rok YouTube channel. It includes tutorials on using the OpenAI Assistants API v1 beta to build personal math tutors, customer support chatbots, and more. Additionally, there are tutorials on using Gemini Pro API, Snowflake Cortex LLM functions, LlamaIndex chat streaming app, Fetch.ai uAgents, Milvus Standalone, spaCy for NER, and more. The repository aims to provide practical examples and guides for developers interested in AI-related projects and tools.
Awesome-Embodied-AI
Awesome-Embodied-AI is a curated list of papers on Embodied AI and related resources, tracking and summarizing research and industrial progress in the field. It includes surveys, workshops, tutorials, talks, blogs, and papers covering various aspects of Embodied AI, such as vision-language navigation, large language model-based agents, robotics, and more. The repository welcomes contributions and aims to provide a comprehensive overview of the advancements in Embodied AI.
ellmer
ellmer is a tool that facilitates the use of large language models (LLM) from R. It supports various LLM providers and offers features such as streaming outputs, tool/function calling, and structured data extraction. Users can interact with ellmer in different ways, including interactive chat console, interactive method call, and programmatic chat. The tool provides support for multiple model providers and offers recommendations for different use cases, such as exploration or organizational use.
chatlas
Chatlas is a Python tool that provides a simple and unified interface across various large language model providers. It helps users prototype faster by abstracting complexity from tasks like streaming chat interfaces, tool calling, and structured output. Users can easily switch providers by changing one line of code and access provider-specific features when needed. Chatlas focuses on developer experience with typing support, rich console output, and extension points.
awesome-mlops
Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.