Virtual Machine for the Web
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Virtual Machine for the Web
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
📺 Discover the latest machine learning / AI courses on YouTube.
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
Free and Open Source Machine Translation API. Self-hosted, offline capable and easy to setup.
Workflow Engine for Kubernetes
Translated"Lee Hung-yi's Deep Learning Tutorial" (recommended by Professor Hung-yi Lee 👍, the Apple Book 🍎), PDF download address: https://github.com/datawhalechina/leedl-tutorial/releases
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Quickly create and run optimised Windows, macOS and Linux virtual machines
pix2tex: Using a ViT to convert images of equations into LaTeX code.
A neural network that transforms a design mock-up into a static website.
Topic Modelling for Humans
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.
Machine learning, in numpy
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
Companion webpage to the book "Mathematics For Machine Learning"
A curated list for awesome kubernetes sources :ship::tada:
🦉 Data Versioning and ML Experiments
The Cloud Native AI Platform
Oxford Deep NLP 2017 course
Packer is a tool for creating identical machine images for multiple platforms from a single source configuration.
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.