DeOldify is a Black and White image Colorizing library created by Jason Antic. Mainly, this library utilized the techniques of these two papers: Self-Attention Generative
We have already covered the PyTorch loss functions implementations in our previous article, now we are heading forward to the other libraries that have been
Have you ever wondered how we humans evolved so much? – because we learn from our mistakes and try to continuously improve ourselves on the
Recently Nvidia labs launched a PyTorch-based GAN(Generative Adversarial Network) library: Imaginaire, that integrates the implementations of several images and video synthesis methods developed by NVIDIA
Preface First, let’s discuss all the buzzwords, and then we will move to the implementation part where we code a starter project in stock market
If you are just getting started with NLP or a researcher who is really into Natural language processing this comprehensive guide will help you with
Google research dataset team just added a new state of art 3-D video dataset for object detection i.e. Objectron, objectron dataset is published 2 months
GluonTS is a toolkit that is specifically designed for probabilistic time series modeling, It is a subpart of the Gluon organization, Gluon is an open-source
The history of web scraping is very long; In 1989 the World Wide Web(WWW) was launched and after some years World Wide Web Wanderer: The
Time series forecasting is in the industry before AI and machine learning, and it is the most complex technique to solve and forecast with the
Time series refers to plotting data points in sequential time order. Now those data points can use a data of an athlete’s performance, cricket player
Pytorch Forecasting is a framework made on top of PyTorch Light used to ease time series forecasting with the help of neural networks for real-world use-cases.
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