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This open-source framework, ‘AutoFlip’, can do automated video cropping using AI

Many times when we see a video on mobile devices is badly cropped, it is not much you can do about it....

CausalNex: An open-source Python library that helps data scientists to infer causation rather than...

CausalNex is a Python library that allows data scientists and domain experts to co-develop models that go beyond correlation and consider causal...

This Python Package ‘Causal ML’ Provides a Suite of Uplift Modeling and Causal Inference...

'Causal ML' is a Python package that deals with uplift modeling, which estimates heterogeneous treatment effect (HTE) and causal inference methods with...

Unsupervised Any-to-Many Audiovisual Synthesis via Exemplar Autoencoders

This paper/repo presents an unsupervised approach that enables a user to convert the input speech of a person to an output set...

Lyft open-sources ‘Flyte’ tool for managing machine learning workflows

Just after Uber open-sourced its debugging tool 'Manifold', Lyft open sources its debugging tool 'Flyte' for managing machine learning workflows. Lyft...

Uber Open-Sourced ‘Manifold’: A Visual Debugging Tool for Machine Learning

Uber recently open-sourced its model-agnostic visual debugging tool 'Manifold' for machine learning models. The objective of this tool is to...

MIScnn: A Python Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep...

The increased need for automatic medical image segmentation has been created due to the enormous usage of modern medical imaging in technology....

Fairseq: A Fast, Extensible Toolkit for Sequence Modeling

Fairseq(-py) is a sequence modeling toolkit written in Python and developed at Facebook's AI Research. This toolkit allows AI researchers and developers to...

‘Cortex’: An open source platform for deploying machine learning models as production web...

If you are looking for a tool to deploy machine learning models as production web services, then ‘Cortex’ could be a good option to...

Deepinsight : User-Friendly Deep Learning Tool to Decode Neural Activity in an Automated Way

DeepInsight is a deep learning-based decoding framework for discovering and characterizing the neural correlates of behavior and stimuli in unprocessed neural data....