Stars
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
A system for quickly generating training data with weak supervision
An intuitive library to add plotting functionality to scikit-learn objects.
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Cancer Diagnosis in Histology Images using Deep Learning and Persistence Homology
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Python Powerful Timeout Decorator that can be used safely on classes, methods, class methods
Set of scripts to easily configure, build and tests HistomicsTK inside a docker container.
An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.
Plots the change of the loss function of a Keras model when the learning rate is exponentially increasing.
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
An interactive machine learning framework for large histopathology images.
Image augmentation for machine learning experiments.
Library and utilities for 3d reconstruction from stereo cameras.
Ripser: efficient computation of Vietoris–Rips persistence barcodes
Build a deep learning workstation from scratch (HW & SW).
A standalone script for automated building and deploying of sphinx docs via travis-ci
Python modules to work with large multiresolution images.
Distributed Asynchronous Hyperparameter Optimization in Python
A Python implementation of global optimization with gaussian processes.
Pulls Together Computer Vision Algorithms into Highly-Modular Run-Time Configurable Systems