Transformers
Showing 13 of 13 projects
A collection of 60+ annotated PyTorch implementations of deep learning papers with side-by-side explanatory notes.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications in Python.
An all-in-one AI framework for semantic search, LLM orchestration, and language model workflows built around an embeddings database.
Fast, state-of-the-art tokenizers for training and tokenization, optimized for both research and production.
An open-source Android app for real-time, offline voice translation between multiple languages using on-device AI models.
An LLM acceleration library for Intel XPU (GPU, NPU, CPU) to speed up local inference and finetuning of popular models.
An open-source NLP framework for building and deploying deep learning dialog systems and chatbots with PyTorch and transformers.
An open-source offline translation library and toolkit written in Python, supporting over 30 languages via downloadable language models.
An end-to-end framework for building custom AI applications and agents directly integrated with databases.
A JAX library for rapid prototyping of large-scale attention-based vision models across images, video, audio, and multimodal data.
Seamlessly integrate large language models like ChatGPT into scikit-learn for enhanced text analysis tasks.
A free course teaching how to design, train, and deploy a production-ready real-time financial advisor LLM system using RAG and LLMOps.
MLeap is a portable execution engine for deploying machine learning pipelines from Spark and Scikit-learn without their runtime dependencies.
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