Reverse Dependencies of apache-beam

The following projects have a declared dependency on apache-beam:

• aidevkit — 一些ai开发过程中使用到的工具模块
• airflow-census — This project is created to provide a simple way to
• airflow-census-jeetendra — This is the project to ingest data from densu API
• apache-airflow — Programmatically author, schedule and monitor data pipelines
• apache-airflow-backport-providers-apache-beam — Backport provider package apache-airflow-backport-providers-apache-beam for Apache Airflow
• apache-airflow-providers-apache-beam — Provider package apache-airflow-providers-apache-beam for Apache Airflow
• apache-airflow-providers-google — Provider package apache-airflow-providers-google for Apache Airflow
• apache-flink — Apache Flink Python API
• armory-library — TwoSix Armory Adversarial Robustness Evaluation Library
• armory-testbed — Adversarial Robustness Test Bed
• array-record — A file format that achieves a new frontier of IO efficiency
• 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.
• beam-io-utils — Utilities for Apache Beam disk io (local or on GCP)
• beam-nuggets — Collection of transforms for the Apache beam python SDK.
• beam-postgres — Light IO transforms for Postgres read/write in Apache Beam pipelines.
• beam-postgres-connector — An io connector for PostgreSQL read/write in Apache Beam pipelines.
• beam-pyspark-runner — An Apache Beam pipeline Runner built on Apache Spark's python API
• beam-sequencer — no summary
• beam-sink — An Apache Beam Sink Library for Databases and other Sinks.
• beamx — A small example package
• bigflow — BigQuery client wrapper with clean API
• biggerquery — BigQuery client wrapper with clean API
• bq-genomics-tools — Tools for BigQuery variant annotations
• BYOD — Bring Your Own Data! Self-Supervised Evaluation for Large Language Models
• carling — Useful transforms for supporting apache beam pipelines.
• census-consumer-complaint — Project has been completed.
• census-consumer-complaint-ineuron — Project has been completed.
• charmory — Adversarial Robustness Evaluation Library
• codalab — CLI for CodaLab, a platform for reproducible computation
• cubed — Bounded-memory serverless distributed N-dimensional array processing
• custom-workflow-solutions — Programmatically author, schedule and monitor data pipelines
• cxr-foundation — CXR Foundation: chest x-ray embeddings generation.
• dataflow-ext — An Extension Library for Dataflow(Apache Beam) in Python
• datalabs — Datalabs
• dataset-grouper — Dataset Grouper - A library for datasets with group-level structure.
• datasets — HuggingFace community-driven open-source library of datasets
• ddsp — Differentiable Digital Signal Processing
• dojo-beam — Apache Beam adapters and datasets for the Dojo data framework.
• example-lagrange-workflow — Example lagrange PyPI (Python Package Index) Package
• factory-ai — no summary
• genbq — Genomics tools for BigQuery
• geobeam — geobeam adds GIS capabilities to your Apache Beam pipelines
• gft — GFT (general fine-tuning) A Little Language for Deepnets: 1-line programs for fine-tuning, inference and more
• gft-cpu — GFT (general fine-tuning) A Little Language for Deepnets: 1-line programs for fine-tuning, inference and more
• google-weather-tools — Apache Beam pipelines to make weather data accessible and useful.
• graphite-datasets — tensorflow/datasets is a library of datasets ready to use with TensorFlow.
• hf-datasets — HuggingFace/NLP is an open library of NLP datasets.
• huhangkai — 接口自动化
• huhk — 接口自动化
• ingestor — Apache Beam pipeline that ingests data from a PostgreSQL and writes it to GCS.
• klay-beam — Toolkit for massively parallel audio processing via Apache Beam
• klio — Conventions for Python + Apache Beam
• klio-audio — Library for audio-related Klio transforms and helpers
• klio-exec — Klio pipeline executor within a job
• kubric — A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation, depth maps, and optical flow.
• kubric-nightly — A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation, depth maps, and optical flow.
• leap-data-management-utils — LEAP / pangeo-forge-recipes extension library for logging data in Google Big Query
• loads-pipeline — Loads Pipeline Workflow Package.
• magenta — Use machine learning to create art and music
• magenta-gpu — Use machine learning to create art and music
• nlp — HuggingFace/NLP is an open library of NLP datasets.
• nuna-sql-tools — Nuna Sql Tools contains utilities to create and manipulate schemas and sql statements.
• object-detection-by-ovi — Tensorflow Object Detection Library
• osiris-sdk — Python SDK for Osiris (Energinet DataPlatform).
• pangeo-forge-recipes — Pipeline tools for building and publishing analysis ready datasets.
• pangeo-forge-runner — Commandline tool to manage pangeo-forge feedstocks
• pano-airflow — Programmatically author, schedule and monitor data pipelines
• parallel-simulations — Helper class to orchestrate in parallel Monte Carlo simulations for an arbitrary number of models, with low-level parameter granularity.
• pdprecommender — no summary
• picsellia-tf2 — Tensorflow Object Detection Library
• pysql-beam — Apache beam mysql and postgres io connector in pure python
• ray-beam — A Ray runner for Apache Beam
• rechunker — A library for rechunking arrays
• Resiliparse — A collection of robust and fast processing tools for parsing and analyzing (not only) web archive data.
• rstojnic-tfds-nightly — tensorflow/datasets is a library of datasets ready to use with TensorFlow.
• sawatabi — Sawatabi is an application framework to develop and run stream-data-oriented Ising applications with quantum annealing.
• sd-beam-nuggets — Collection of transforms for the Apache beam python SDK. Forks the original Mohamed Haseeb repository to make some workarounds
• selector-standardization-beam — Data Standardization pipeline in Apache Beam for Selector project
• sentry-sdk — Python client for Sentry (https://sentry.io)
• sentry-sdk-pubsub — Python client for Sentry (https://sentry.io) with PubSub support
• seqio — SeqIO: Task-based datasets, preprocessing, and evaluation for sequence models.
• seqio-nightly — SeqIO: Task-based datasets, preprocessing, and evaluation for sequence models.
• servir-aces — Agricultural Classification and Estimation Service (ACES)
• sigma-dataflow-custom — no summary
• t5 — Text-to-text transfer transformer
• tapas-table-parsing — Tapas: Table-based Question Answering.
• TDY-PKG — its an implimentation of TF-2 , Detectron and yolov5
• TDY-PKG-saquibquddus — its an implimentation of TF-2 , Detectron and yolov5
• temporian — Temporian is a Python package for feature engineering of temporal data, focusing on preventing common modeling errors and providing a simple and powerful API, a first-class iterative development experience, and efficient and well-tested implementations of common and not-so-common temporal data preprocessing functions.
• tensorflow-data-validation — A library for exploring and validating machine learning data.
• tensorflow-datasets — tensorflow/datasets is a library of datasets ready to use with TensorFlow.
• tensorflow-gnn — A library for building scalable graph neural networks in TensorFlow.
• tensorflow-model-analysis — A library for analyzing TensorFlow models
• tensorflow-transform — A library for data preprocessing with TensorFlow
• tf2-tensorflow-object-detection-api — Tensorflow Object Detection Library with TF2.0
• tfds-nightly — tensorflow/datasets is a library of datasets ready to use with TensorFlow.
• tfds-nightly-gradient — tensorflow/datasets is a library of datasets ready to use with TensorFlow.
• TFOD-Automatic — Automated Object detection for Beginner using python and Tensorflow
• tfrecorder — TFRecorder creates TensorFlow Records easily.
• tfx — TensorFlow Extended (TFX) is a TensorFlow-based general-purpose machine learning platform implemented at Google.