Showing 36 of 81 projects
A platform to create, deploy, and manage continuous AI agents that automate complex workflows.
A platform for building, deploying, and managing continuous AI agents that automate complex workflows.
The world's largest open-source prompt library for AI, compatible with ChatGPT, Claude, Gemini, and more.
An open-source platform for AI-driven software development, offering an SDK, CLI, GUI, and cloud service for building and running software agents.
Interactive point-based manipulation tool for editing GAN-generated images by dragging points to target positions.
A privacy-focused AI answering engine that runs on your own hardware, combining web search with local and cloud LLMs.
Industrial-strength Natural Language Processing library for Python, featuring pretrained pipelines for 70+ languages and production-ready training.
A deep learning framework to pretrain and finetune any AI model at any scale with zero code changes.
A deep learning framework to pretrain and finetune any AI model on any hardware with zero code changes.
A PyTorch wrapper that automates engineering boilerplate for scalable AI model training and deployment.
A visual roadmap outlining the skills, technologies, and learning paths to become an Artificial Intelligence expert in 2022.
A top-down, hands-on daily study plan for software engineers transitioning into machine learning roles.
A TypeScript toolkit for building AI-powered applications and agents with React, Next.js, and Node.js support.
A TypeScript toolkit for building AI-powered applications and agents with React, Next.js, and Node.js support.
A high-performance neural network inference framework optimized for mobile platforms, enabling efficient AI deployment on edge devices.
A production-grade Rust-native trading engine with deterministic event-driven architecture for multi-asset, multi-venue systems.
A fast, automated tool that decrypts encryptions, decodes encodings, and cracks hashes without prior knowledge of the key or cipher.
A reactive Python notebook that's reproducible, git-friendly, and deployable as scripts or apps.
A decentralized graph database and synchronization protocol for building real-time, offline-first applications with end-to-end encryption.
Open-source simulator for drones and autonomous vehicles built on Unreal Engine and Unity, designed for AI research.
A curated collection of tutorials, articles, and resources for learning machine learning and deep learning topics.
A topic-wise curated list of machine learning and deep learning tutorials, articles, and resources for developers and data scientists.
A curated index of the latest and best machine learning and AI courses available on YouTube, organized by topic.
A collection of implementations and illustrative code accompanying DeepMind's published research papers across AI and machine learning.
A comprehensive JVM-based deep learning ecosystem for building, training, and deploying models with support for model import and distributed training.
An open-source simulator built on Unreal Engine for developing, training, and validating autonomous driving systems.
A curated list of must-use resources for AI engineering, including books, courses, papers, frameworks, and tools.
A curated collection of must-use resources for AI engineering, including books, courses, papers, frameworks, and tools.
Google's IPython Notebook demonstrating neural network art generation using the DeepDream technique.
A curated list of modern Generative AI projects, services, models, and resources across text, image, video, audio, and coding.
An open-source LLMOps platform unifying gateway, observability, evaluation, optimization, and experimentation for industrial-grade LLM applications.
A differentiable computer vision library for PyTorch, providing geometric vision and image processing algorithms for AI workflows.
An all-language AI-powered code completion backend that provides intelligent autocompletions across multiple editors.
A lightweight, high-performance, and extensible WebAssembly runtime for cloud native, edge, and decentralized applications.
A TensorFlow 2 library providing simple, composable abstractions for machine learning research via the snt.Module concept.
A curated collection of over 4,000 awesome generative AI applications across 43 categories.
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