We based our work on the Keras EfficientDet implementation xuannianz/EfficientDet which again builds up on the great Keras RetinaNet implementation fizyr/keras-retinanet, the official EfficientDet implementation google/automl and
Lhotse is a Python library aiming to make speech and audio data preparation flexible and accessible to a wider community. Alongside k2, it is a part of the next generation Kaldi speech processing library.
River is a Python library for online machine learning. It is the result of a merger between creme and scikit-multiflow. River's ambition is to be the go-to library for doing machine learning on streaming data.
Visualkeras is a Python package to help visualize Keras (either standalone or included in tensorflow) neural network architectures. It allows easy styling to fit most needs. As of now it supports layered style architecture generat
Darkdump is a simple script written in Python3.9 in which it allows users to enter a search term (query) in the command line and darkdump will pull all the deep web sites relating to that query. Darkdump wraps up the darksearch.io