tensorboard_logger | Python Package Wiki

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

mxnet-mkl	MXNet is an ultra-scalable deep learning framework. This version uses MKLDNN.
baselines	OpenAI baselines: high quality implementations of reinforcement learning algorithms
tflite-support	TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile devices.
cleverhans	None
pyrouge	A Python wrapper for the ROUGE summarization evaluation package.
alibi	Algorithms for monitoring and explaining machine learning models
diversipy	Sample in hypercubes, select diverse subsets, and measure diversity
dm-haiku	Haiku is a library for building neural networks in JAX.
agents	Efficient TensorFlow implementation of reinforcement learning algorithms.
pytango	A python binding for the Tango control system
hdf5plugin	HDF5 Plugins for windows,MacOS and linux
dynamix	None
somber	Self-Organizing Maps in Numpy
randopt	Streamlined machine learning experiment management.
brainstorm	Fast, flexible and fun neural networks.
tf-models-official	TensorFlow Official Models
python-zpar	A Wrapper around the ZPar statistical tagger/parser for English
stable-baselines	A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.
tensorstore	Read and write large, multi-dimensional arrays

pip install tensorboard_logger==0.1.0