Convert Machine Learning Code Between Frameworks
- python
- tensorflow
- pytorch
- numpy
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Convert Machine Learning Code Between Frameworks
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The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Deep learning library featuring a higher-level API for TensorFlow.
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
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.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Scalable, event-driven, deep-learning-friendly backtesting library
CNN visualization tool in TensorFlow
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
🎆 A visualization of the CapsNet layers to better understand how it works