Framework that implements AutoML algorithms for model architecture search at scale.
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An open source, serverless framework for building intelligent agents and APIs in Go or AssemblyScript (a TypeScript-like language).
Machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface.
CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.
A Natural Adversarial Language Processing framework built over Tensorflow.
Ultra-lightweight personal AI assistant framework (~4,000 lines of Python). Supports MCP, 9+ chat channels, and extensible skills system.
Ncnn is a high-performance neural network inference framework optimized for the mobile platform.
An open-source framework by NVIDIA for building speech AI systems, including automatic speech recognition and text-to-speech. opensource.
Model viewer for inspecting neural network architecture files from many machine learning frameworks.
A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.
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.