Reverse Dependencies of tf-nightly

The following projects have a declared dependency on tf-nightly:

• ai-edge-quantizer — A quantizer for advanced developers to quantize converted ODML models.
• ai-edge-quantizer-nightly — A quantizer for advanced developers to quantize converted AI Edge models.
• ai-edge-torch — Supporting PyTorch models with the Google AI Edge TFLite runtime.
• ai-edge-torch-nightly — Supporting PyTorch models with the Google AI Edge TFLite runtime.
• bert-text-summarizer — A BERT-based text summarization tool
• dataclass-array — Dataclasses that behave like numpy arrays (with indexing, slicing, vectorization).
• dm-launchpad-nightly — Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of supported platforms.
• dm-reverb-macos-nightly — Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research.
• edward2 — Edward2
• gin-config — Gin-Config: A lightweight configuration library for Python
• nnsmith — "Automatic DNN generation for fuzzing and more."
• orbax-export — Orbax Export
• stan2tfp — a lightweight interface to the TensorFlow Probability backend of the Stan compiler.
• tensionflow — A Tensorflow framework for working with audio data.
• tensorflow-datasets — tensorflow/datasets is a library of datasets ready to use with TensorFlow.
• tensorflow-federated-nightly — TensorFlow Federated is an open-source federated learning framework.
• tensorflow-graphics-gpu — A library that contains well defined, reusable and cleanly written graphics related ops and utility functions for TensorFlow.
• tf-agents-nightly — TF-Agents: A Reinforcement Learning Library for TensorFlow
• tf-big — Arbitrary precision integers in TensorFlow.
• tf-keras-nightly — Deep learning for humans.
• tf-models-nightly — TensorFlow Official Models
• tf-seal — Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library.
• tfds-nightly — tensorflow/datasets is a library of datasets ready to use with TensorFlow.
• transferit — Train a model using transfer learning and serve it using TF Serving.
• uncertainty-baselines — Uncertainty Baselines
• uncertainty-metrics — Uncertainty Metrics
• visu3d — 3d geometry made easy.