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PQk-means: Billion-scale Clustering for Product-quantized Codes

PQk-means is a Python library for efficient clustering of large-scale data. While k-means clustering is slow and not much efficient to handle...

Nvidia’s StyleGAN2: Analyzing and Improving the Image Quality of StyleGAN

Nvidia launches its upgraded version of StyleGAN by fixing artifacts features and further improves the quality of generated images. StyleGAN being the...

OpenAI Releases the 1.5 Billion Parameter GPT-2 : The Text Generating Model

OpenAI announced the launch of its 1.5 billion parameter language model GPT-2. GPT-2 has been in the news as the scary AI...

‘Backronym’ May Help To Generate Ideas in Machine Learning by Visualizing Hundreds of Research...

Every year hundreds of papers are published on Machine learning/Deep Learning in various journals and conferences. Most of them are based on...

Alibaba’s Hanguang 800 can process nearly 80,000 images per second.

Alibaba Group launches a machine learning chip that will perform machine learning and deep learning tasks faster and energy-efficient. It is developed...

‘CharacterLipSync’, a deep learning system generating real-time lip-sync for live 2-D animation

Two researchers at Adobe Research and the University of Washington recently published a paper, introducing a deep learning-based system that creates dwell...

Understanding the perception of COVID-19 policies by Multi-language Tweets Dataset

The goal of this project is to explore popular discourse about the COVID-19 pandemic and policies implemented to manage it. The author...

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....

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...

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...
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