Reverse Dependencies of tensorflow-datasets

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

• rlds — A Python library for Reinforcement Learning Datasets.
• rocks-classifier — Rock classifier deployed on railway and monitored using Weights and Biases!
• sbijax — Simulation-based inference in JAX
• scikit-surgerytf — scikit-surgerytf is a Python package for Tensor Flow examples and utilities
• seg_tgce — A package for the SEG TGCE project
• sentinex — Sentinex: A high level interface aimed towards rapid prototyping and intuitive workflow for JAX.
• SimpleAI-Image — A package for processing and storing image vectors in PostgreSQL
• simplegan — Framework to ease training of generative models based on TensorFlow
• slideflow — Deep learning tools for digital histology
• smart-tfrecord-writer — A Python package to write TFRecord files easily and seamlessly into Tensorflow Datasets format.
• sof-utils — Small utilities to aid working with the SOF dataset
• sotaai — Stateoftheart AI Official Library
• space-datasets — Unified storage framework for machine learning datasets
• spectrogram-to-audio — no summary
• sqlflow-models — Premade Models for SQLFlow.
• stadion — Causal Modeling with Stationary Diffusions
• sunds — Datasets for scene understanding and neural rendering.
• tabular-tf — TF Tabular simplifies the experimentation and preprocessing of tabular datsets for TensorFlow models.
• tensor2tensor — Tensor2Tensor
• 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-datasets-ko — Custom TensorFlow Datasets for Korean Text Data
• tensorflow-enterprise-addons — Client-side library suite of TensorFlow Enterprise on Google CloudPlatform (GCP), which implements specific integration between GCP andTensorFlow APIs.
• tensorflow-gan — TF-GAN: A Generative Adversarial Networks library for TensorFlow.
• tensorflow-graphics — A library that contains well defined, reusable and cleanly written graphics related ops and utility functions for TensorFlow.
• tensorflow-probability — Probabilistic modeling and statistical inference in TensorFlow
• tensorflow-similarity — Metric Learning for Humans
• tensorflow-text — TF.Text is a TensorFlow library of text related ops, modules, and subgraphs.
• tensorflow-text-nightly — TF.Text is a TensorFlow library of text related ops, modules, and subgraphs.
• tensorwrap — TensorWrap: A high level TensorFlow wrapper for JAX.
• tf-data-athena — An implementation of tf.data.Dataset for aws Athena
• tf-models-nightly — TensorFlow Official Models
• tf-models-no-deps — TensorFlow Official Models
• tf-models-official — TensorFlow Official Models
• tfds-korean — A collection of Korean Text Datasets ready to use using Tensorflow-Datasets.
• tfdsio — tfdsio
• tfg-nightly — A library that contains well defined, reusable and cleanly written graphics related ops and utility functions for TensorFlow.
• tflite-model-maker — TFLite Model Maker: a model customization library for on-device applications.
• tflite-model-maker-nightly — TFLite Model Maker: a model customization library for on-device applications.
• TFOD-Automatic — Automated Object detection for Beginner using python and Tensorflow
• tfsim-nightly — Metric Learning for Humans
• tftk — Machine Learning Toolkit using TensorFlow
• transformer-korean — Text-to-Text Transformer for Korean QA Task
• trax — Trax
• twodlearn — Easy development of machine learning models
• uncertainty-baselines — Uncertainty Baselines
• urduhack — Natural Language Processing (NLP) library for Urdu language.
• visu3d — 3d geometry made easy.
• wyn-transformers — The official package to train a transformer from scratch.
• yifeif_tensorflow_graphics — A library that contains well defined, reusable and cleanly written graphics related ops and utility functions for TensorFlow.
• zensols.cnndmdb — Creates a SQLite database if the CNN and DailyMail summarization dataset.
• zookeeper — A small library for managing deep learning models, hyper-parameters and datasets