Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
Machine Learning Engineering Open Book
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
- machine-translation
- speaker-recognition
- asr
- tts
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
Scalable and user friendly neural :brain: forecasting algorithms.
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
Scalable machine 🤖 learning for time series forecasting.
Scalable, event-driven, deep-learning-friendly backtesting library
Scalable Machine Learning with Dask
Corpus legislativo brasileiro em larga escala e modelo Transformer causal treinado do zero em PyTorch puro.