Reverse Dependencies of tensorflow-metal

The following projects have a declared dependency on tensorflow-metal:

• adam-lr-decay — Adam Layer-wise LR Decay
• aironsuit — A model wrapper for automatic model design and visualization purposes.
• analyser-hj3415 — Stock analyser and database processing programs
• baby-seg — Birth Annotator for Budding Yeast
• blacklight — AutoML utilizing Genetic Algorithms and Neural Networks
• brevettiai — Brevetti AI library
• cehrbert — CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks
• cenfind — Score cells for centrioles in IF data
• deeplabcut — Markerless pose-estimation of user-defined features with deep learning
• deepmd-kit — A deep learning package for many-body potential energy representation and molecular dynamics
• deepmd-kit-cu11 — A deep learning package for many-body potential energy representation and molecular dynamics
• device-picker — A device picker for machine learning frameworks like PyTorch, TensorFlow, and JAX.
• Djaizz — Artificial Intelligence (AI) in Django Applications
• efficientv2-unet — A U-Net implementation of the EfficientNetV2.
• gennet-forked — Framework for Interpretable Neural Networks
• inverse-canopy — Tensorflow based library for back-fitting event tree conditional/functional event probability distributions to match target end-state frequencies.
• midap — A package for cell segmentation and tracking.
• mingru-keras — This package contains a Keras 3 implementation of the minGRU layer, a minimal and parallelizable version of the gated recurrent unit (GRU).
• ML2 — Machine Learning for Mathematics and Logics
• napari-denoiseg — A napari plugin performing joint denoising and segmentation of microscopy images using DenoiSeg.
• napari-n2v — A self-supervised denoising algorithm now usable by all in napari.
• neuralstockprophet — LSTM-ARIMA with attention mechanisms and multiplicative decomposition for sophisticated stock forecasting.
• niceml — Welcome to niceML 🍦, a Python-based MLOps framework that uses TensorFlow and Dagster. This framework streamlines the development, and maintenance of machine learning models, providing an end-to-end solution for building efficient and scalable pipelines.
• operetta-compose — Fractal tasks for the Opera/Operetta microscope and drug response profiling
• pyoats — Quick and Easy Time Series Outlier Detection
• rasa — Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
• rasa-mini — Minified Rasa with only NLU component.
• rasa-pro — State-of-the-art open-core Conversational AI framework for Enterprises that natively leverages generative AI for effortless assistant development.
• rexify — Streamlined Recommender System workflows with TensorFlow and Kubeflow
• rlearn — reinforcement learning algorithms in python
• SimpleAI-Image — A package for processing and storing image vectors in PostgreSQL
• sleap — SLEAP (Social LEAP Estimates Animal Poses) is a deep learning framework for animal pose tracking.
• sleepkit — AI driven sleep monitoring kit for ultra low-power wearables.
• stardist-napari — Object Detection with Star-convex Shapes
• tfjs-graph-converter — A tensorflowjs Graph Model Converter