Reverse Dependencies of keras-tuner

The following projects have a declared dependency on keras-tuner:

• ale-uy — Tool to perform data cleaning, modeling and visualization in a simple way.
• auto-ml-cl — Auto machine learning with scikit-learn and TensorFlow framework.
• auto-tensorflow — Build Low Code Automated Tensorflow, What-IF explainable models in just 3 lines of code. To make Deep Learning on Tensorflow absolutely easy for the masses with its low code framework and also increase trust on ML models through What-IF model explainability.
• autokeras — AutoML for deep learning
• autorec — AutoRec for automated recommendation
• baby-seg — Birth Annotator for Budding Yeast
• capfinder — A package for decoding RNA cap types
• cerebral — Tool for creating multi-output deep ensemble neural-networks
• combinatorial-gwas — A package for the final project of MIT's 6.874 class Deep Learning in Life Science
• CPred — CPred: A deep learning framework for predicting the charge state distribution in modified and unmodified peptides in ESI
• das — DAS
• dbaae — Adversarial Autoencoder with dynamic batching package
• easycheml — A simple tool for using artificial intelligence in chemistry
• factory-ai — no summary
• fathom-lib — Fathom lib
• gammath-spot — Stock Price-Opining Toolset
• gdemandfcast — Generic Python Package for Time Series Forecasting.
• hls4ml — Machine learning in FPGAs using HLS
• keras-declarative — A declarative Keras interface.
• keras-tuner-extensionpack — An extension pack for keras-tuner for providing additional optimizers.
• kerastuner-tensorboard-logger — Simple integration of keras-tuner (hyperparameter tuning) and tensorboard dashboard (interactive visualization).
• kgcnn — General Base Layers for Graph Convolutions with Keras
• LatentBoostClassifier — A hybrid generative model combining CVAE, CGAN, and Random Forest.
• learntorank — Learning to rank library
• libra — Ergonomic machine learning
• likelihood — A package that performs the maximum likelihood algorithm.
• LorisBallsBasedModel — A package that allows to build neural networks models using my balls.
• misst — Automated murine polysomnogram sleep staging for Python.
• ml4h — Machine Learning for Health python package
• MLAC — Code for comparing different machine learning algorithms for binary classification.
• model-creator-bird-sing-v2 — Autoencoder singing
• mono-dense-keras — Monotonic Dense Layer implemented in Keras
• monotonic-nn — Monotonic Neural Networks
• nais — NORSAR AI System.
• napr — Machine learning meets natural products
• QKeras — Quantization package for Keras
• RAISING — RAISING: A supervised deep learning framework for hyperparameter tuning and feature selection
• rkkr — no summary
• rule4ml — Resource utilization and Latency Estimation for ML on FPGA
• rule4ml-test — Resource utilization and Latency Estimation for ML on FPGA
• scope-ml — SCoPe: ZTF Source Classification Project
• seeq-sysid — Seeq System Identification Addon
• sknlp — no summary
• sonusai-keras — Keras model tools for SonusAI
• tawizard — tawizard
• tcn-sequence-models — TCN based models for time series forecasting.
• tensorflow-cloud — The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in a local environment to distributed training in the cloud.
• tensorflow-enterprise-addons — Client-side library suite of TensorFlow Enterprise on Google CloudPlatform (GCP), which implements specific integration between GCP andTensorFlow APIs.
• tfsim-nightly — Metric Learning for Humans
• tfx — TensorFlow Extended (TFX) is a TensorFlow-based general-purpose machine learning platform implemented at Google.
• ts-rnn — Package to forecast time series with recurrent neural network
• waseda-tfx — TensorFlow Extended (TFX) is a TensorFlow-based general-purpose machine learning platform implemented at Google.