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📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
☁️ Build multimodal AI applications with cloud-native stack
Pytorch domain library for recommendation systems
Making large AI models cheaper, faster and more accessible
FinRL: Financial Reinforcement Learning. 🔥
Instant neural graphics primitives: lightning fast NeRF and more
🌊 A Human-in-the-Loop workflow for creating HD images from text
The simplest, fastest way to get business intelligence and analytics to everyone in your company 😋
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
A curated list of awesome Machine Learning frameworks, libraries and software.
Learn ML engineering for free in 4 months!
A cloud-native vector database, storage for next generation AI applications
Chat with your favourite LLaMA models in a native macOS app
The simplest way to run LLaMA on your local machine
The Generative AI Landscape - A Collection of Awesome Generative AI Applications
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 275+ supported cars.
<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
Ecoute is a live transcription tool that provides real-time transcripts for both the user's microphone input (You) and the user's speakers output (Speaker) in a textbox. It also generates a suggest…
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
12 Weeks, 24 Lessons, AI for All!
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
Curated list of AI-powered developer tools.
Drag & drop UI to build your customized LLM flow