Wondering where to find data for your Python data science projects? Find out why Kaggle is my go-to and how I explore data ...
Python in Excel is a game-changer ...
Clone the LiteWing Library repository from GitHub using the following command: ...
AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...
This is an experimental repository to conduct point cloud segmentation with deep reinforcement learning according to our publication. The idea is that a neural network estimates the parameters of a ...
Sign of the times: An AI agent autonomously wrote and published a personalized attack article against an open-source software maintainer after he rejected its code contribution. It might be the first ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Hao Li, Zheng Xu, Gavin Taylor, Christoph Studer and Tom Goldstein. Visualizing the Loss Landscape of Neural Nets. NIPS, 2018. We add simple and easy to use installation and running instructions. An ...