Feb

A critical analysis of Google’s impressive new text-to-image generation toolPhoto by Amanda Dalbjörn on UnsplashText-to-image synthesis is a research direction within the field of multimodal learning which has been the subject of many recent advancements . This review will focus on the article, ‘Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding’ .Here the authors attempt to achieve state-of-the-art photorealism and provide insights into a deeper level of language understanding within…

IntroductionWhat makes a song tick? It’s easy to justify your love for a song when the artist hits a high note or recites a thought-provoking verse. It’s also easy to like a song solely because it was performed by one of your favorite artists. However, that alone does not account for the current music landscape. In this saturated market, where countless tracks have similar voices, genres, and styles, some tracks just happen to outperform others.This begs the question: are there more hidden/latent audio factors that…

The classical inventory management optimization problem solved in Python using PyomoPhoto by CHUTTERSNAP on UnsplashLot sizing problems are production planning problems with setups between production lots. By reason of these setups, it is often too costly to produce a given product in every period (Suwondo & Yuliando, 2012). In contrast, fewer setups are associated with higher holding inventory costs. Therefore, to obtain optimal costs, one should balance these operational aspects.Throughout this article, the problem…

The TRAPPIST-1 system contains a total of seven known Earth-sized planets. Mankind has been in search of potential planets which could support life one day should the need to ever leave Earth arise. Although there are more planets in the Universe than you could ever imagine, they all have one or the other substance missing which makes our Blue Planet so unique. NASA, ESA, ISRO and other space agencies have been on the hunt to study planets not just in our solar system, but outside too.In 2017, NASA announced the…

OpinionMLOps in Practice — as a data scientist, are you handing over a notebook or an ML pipeline to your ML engineers or DevOps engineers for the ML model to be deployed in a production environment?BackgroundIn my previous articles :I talked about the importance of building ML pipelines. In today’s article, I will deep dive into the topic of ML pipelines and explain in detail:Why is it necessary and important to build ML pipelinesWhat are the key components of a ML pipelineWhy and how data scientists should adopt ML…

Photo by Luke Chesser on UnsplashUsing a modified KernelSHAP for time-series event detectionFeature importance is a widespread technique used to explain how machine learning models make their predictions. The technique assigns a score or weight to each feature, indicating how much that feature contributes to the prediction. The scores can be used to identify the most important features and to understand how the model is making its predictions. One frequently used version of this is Shapley values, a model-agnostic metric…

Office hourBuilding a happy and connected team with the help of PythonOne positive thing COVID-19 facilitated was to push more companies adopt flexible working arrangements. This adoption meant more of us can continue working from home even when lockdowns are over. While this flexibility is awesome in so many ways, one potential downside is that you can’t bump into people like you would normally in office and have those casual spontaneous conversations which help build better rapport with colleagues and make you feel part…

Classes == More Code ReadabilityDuring your work with signal data, you might end up programming multiple functions and methods that can implement the process you want to use on the signal data. However, at some point, it might be hard to keep tracking the quality of your methods applied to signals without prior knowledge of this data. Therefore, generating signal data with prior known parameters helps you better understand your program and method. Generating signals, especially sinusoidal signals, is very common in signal…

A new model is generating impressive music from just text promptimage generated by the authors using OpenAI DALL-EGoogle has released a new model capable of generating music from a textual description. The result? impressive.Actually, the idea of applying generative AI to music is not a new concept. There have been several attempts in recent years, including Riffusion, Dance Diffusion, Microsoft’s Museformer, and OpenAI’s Jukebox. Google itself had previously released a model called AudioML. Why would this model be…

Get full control of where your images are storedPhoto by Growtika on UnsplashHosting a Docker private registry gives you full control over the storage location of your images and how you can access them. This is especially useful if you develop private projects that shouldn’t be publicly on Docker Hub.In this tutorial, you will learn how to install a private Docker registry in any Kubernetes cluster. It is a follow-up of a tutorial previously released on this blog because it will use a Traefik Ingress Controller to expose…