This Project does a custom object detection using YOLO model. The trained model was used to develop a tracking algorithm.

This book is a unique walk through for all aspirants that look forward to grasp the idea of supervised learning from scratch. This book shows the use of various metrics and hyper parameter tuning. Also this book sheds light into application of classifiers like KNN and so on... Happy learning....

This notebook is a basic operational procedure of statistical understanding of data and associated operations using numpy and pandas. Would be a great help for beginners to better understand the concepts in detail

The project is a simple elaboration of the concept of object detection from the tensorflow website.

This project represents a computer vision problem and solution with respect to activity recognition. The presented notebook is an example of a successfully compiled one that was able to identify activities from the predefined activities on recorded videos. The dataset used for the learning was UCF 50. All the methods including downloading and utilising the dataset is elaborated in the code base.

This Project does a custom object detection using YOLO model. The trained model was used to develop a tracking algorithm.

Single click distributed training using pytorch

Single click distributed training using Tensorflow

Built in MLFlow integration

Tensorflow MultiNode training

Tensorflow distributed training on multiple nodes

Built in Tensorboard Viewer

Convnext

Q&A with pytorch

Vtoonify in action