Python package built to ease deep learning on graph, on top of existing DL frameworks.
- deep-learning
- graph-neural-networks
Repository Index
47,133 repositories indexed
1–7 of 7 · Most stars
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
- cntk
- visualization
- tensorflow
- model-converter
A uniform interface to run deep learning models from multiple frameworks
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
- pipeline
- pipeline-framework
- machine-learning
- deep-learning
Sayna is a unified Voice Layer for AI Agents with a seemless integration to an existing agentic frameworks
- ai-agents
- speech-to-text
- text-to-speech
- voice-agents
Examples and code snippets demonstrating common ways of integrating Neon with various frameworks and languages.
Integrate with the latest language models, image generation, speech, and deep learning frameworks like ChatGPT, DALL·E, and Cohere using few java lines.
- openai
- gpt3
- dalle2
- image-generation