PyTorch recently announced that their new release would utilise the GPU on M1 arm chipset macs. This was indeed a delight for deep learning enthusiasts who own an M1 mac. In order to check out the performance of this new release, I went ahead and ran some tests. …

Building powerful dashboards using python, elasticsearch, apache Kafka and Kibana — Stream processing is an extremely powerful data processing paradigm which helps us process massive amounts of data points and records in the form of a continuous stream and allows us to achieve real time processing speeds. Apache Kafka is an extremely powerful tool when it comes to data streams. It…

Python is fantastic language for learning objected-oriented programming. An important pillar of objected-oriented programming is using inheritance in your code. Writing two classes which represent a similar real world object but bear not relationship with each other is actually on not much use. This is the short blog on how…

As the number of digital data transactions are increasing, it is becoming extremely important to get some insights out of this ever increasing data pile and organizations are looking towards to creating analytics of this data in a real-time manner. Many analytics engines and systems use batch processing to perform…

I decided to revisit the concepts of deep learning and chose PyTorch as a framework for this task. I started off with the implementation of a basic neural network in PyTorch using the various tools this framework provides such as Dataloader, the nn module and LR scheduler and more. I…

At many stages during a developer’s career, he/she has to build systems capable of communicating with another. For example, there may be two python programs and the second program’s operations might depend on the output of the first program. There can be multiple programs in that linear sequence, with every…

Building Deep Learning networks is a thing and deploying them for production is a completely different paradigm. Developers spend days scratching their heads over deploying the model and getting all dependencies correct. We will go over a problem statement of building an object detector using the YOLO object detection framework…