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EBES: EASY BENCHMARKING FOR EVENT SEQUENCES
jeppesens / eufy-clean
Forked from martijnpoppen/eufy-cleanEufy Clean SDK
Home assistant integration for the Delonghi coffee machine
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
Metric learning and retrieval pipelines, models and zoo.
Информационная страница по курсу
Library for scanning documents via MRZ (Machine Readable Zones) using Vision API
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Access scipy optimizers from your favorite deep learning framework.
A differentiable PDE solving framework for machine learning
Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.
A toolbox to iNNvestigate neural networks' predictions!
Methods and Implements of Deep Clustering
Factor graphs and loopy belief propagation implemented in Python
Python package to accelerate the sparse matrix multiplication and top-n similarity selection
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
RaPId (a recursive acronym for "Rapid Parameter Identification") utilizes different optimization and simulation technologies to provide a framework for model validation and calibration of any kind …
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Tools for diffing and merging of Jupyter notebooks.
Versatile, high-performance histogram toolkit for Numpy.
A game theoretic approach to explain the output of any machine learning model.
Lime: Explaining the predictions of any machine learning classifier
Live training loss plot in Jupyter Notebook for Keras, PyTorch and others