A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.
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TypeScript-first multi-provider AI agent framework with workflow orchestration and MCP support.
Neuroph is lightweight Java neural network framework.
An Easy-to-Use and High-Performance AI deployment framework.
Neural networks framework in pure C: training and inference, no dependencies.
Notte is the fastest, most reliable Browser Using Agents framework.
OneFlow is a performance-centered and open-source deep learning framework.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
A PyTorch-based framework to train and validate the models producing high-quality embeddings.
Vanna.ai - An open-source Python RAG framework for SQL generation and related functionality.
Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning.
Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.
Machine Learning Framework from Industrial Practice.
A Julia framework for probabilistic graphical models.
Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone.
A JavaScript application framework for machine learning and its engineering.
Open Source framework for voice and multimodal conversational AI.
A general-purpose network embedding framework: pair-wise representations optimization Network Edit.
Agent Framework / shim to use Pydantic with LLMs.
A Modular Framework for Multi-Modal Tabular Learning.
Deep learning framework to train, deploy, and ship AI products Lightning fast.
A PyTorch-Based Framework for Deep Learning in Computer Vision.
A python framework to transform natural language questions to queries in a database query language.