Fast online estimates on the GPU

06/08/2021  ·  4 minutes
Python PyTorch
Estimating moments is an important step of any statistical analysis of data. The mean, variance, skewness and kurtosis of a dataset can already tell a lot about the distribution of our data. However, some datasets don’t quite fit in memory. If you have a dataset of N samples and C features where N is a lot bigger than C, you can benefit a lot by using online algorithms. $$ \bar x = \frac 1N\sum_{i=1}^N x_i $$

Video Analysis

Fall 2020  ·  1 minute
Python PyTorch
As part of a project similar to the geometric deep learning analysis I did in Spring 2020, I investigated state of the art techniques in video action recognition. An example of tracking the activities of subjects The project was mostly about modifying the SlowFast model from FAIR to add person tracking. The modifications made to the model are available on this repository.