pip install dm-reverb==0.6.0

Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research.

Source
Among top 5% packages on PyPI.
Over 18.9K downloads in the last 90 days.

Commonly used with dm-reverb

Based on how often these packages appear together in public requirements.txt files on GitHub.

ml-collections

ML Collections is a library of Python collections designed for ML usecases.

syntok

sentence segmentation and word tokenization toolkit

autocolorize

Automatic colorizaton of grayscale images using Deep Learning.

dstoolbox

Tools that make working with scikit-learn and pandas easier.

nrepl-python-client

A Python client for the nREPL Clojure networked-REPL server.

vttLib

Compile Visual TrueType assembly with FontTools.

pytorch-nlp

Text utilities and datasets for PyTorch

peerassets-btcpy

A Python3 SegWit-compliant library which provides tools to handle Bitcoin data structures in a simple fashion.

rgbxy

RGB conversion tool written in Python for Philips Hue.

astor

Read/rewrite/write Python ASTs

tensorboard

TensorBoard lets you watch Tensors Flow

grpcio-reflection

Standard Protobuf Reflection Service for gRPC

gast

Python AST that abstracts the underlying Python version

tensorflowjs

Python Libraries and Tools for TensorFlow.js

Keras-Applications

Reference implementations of popular deep learning models

wikiextractor

scripts for parsing the wikimedia xml dumps files

tf-hub-nightly

TensorFlow Hub is a library to foster the publication, discovery, and consumption of reusable parts of machine learning models.

Keras-Preprocessing

Easy data preprocessing and data augmentation for deep learning models

aiopogo

Asynchronous Pokemon API lib

Version usage of dm-reverb

Proportion of downloaded versions in the last 3 months (only versions over 1%).

0.4.0

35.10%

0.5.0

16.10%

0.3.1

11.37%

0.4.0rc0

3.77%

0.5.0rc1

2.83%

0.5.0rc0

2.75%

0.2.0

2.28%

0.3.1rc0

2.16%

0.3.0

2.02%

0.3.0rc1

1.96%

0.6.0rc0

1.95%

0.3.0rc5

1.55%

0.3.0rc4

1.55%

0.3.0rc3

1.52%

0.3.0rc2

1.50%

0.3.0rc0

1.50%

0.1.0

1.42%

0.2.0rc3

1.34%

0.2.0rc2

1.31%

0.2.0rc1

1.28%

0.2.0rc0

1.26%

0.1.0rc1

1.18%

0.1.0rc0

1.17%

0.6.0

1.12%