-
Understanding Memory Mapping in Numpy for Deep Learning: Pt 1
In the previous article, we discussed the possibility of having memory constraints when trying to get into deep learning. I…
-
AI Emotion Recognition Using Computer Vision
Photo by Andrea Piacquadio: https://www.pexels.com/photo/collage-photo-of-woman-3812743/ Computer vision is one of the most widely used and evolving fields of AI. It…
-
Image Augmentation for Computer Vision Tasks Using PyTorch
Source: https://unsplash.com/photos/-f8ssjFhD1k Data augmentation is the process of transforming training data to introduce randomness. This strategy is common for computer…
-
Tracking JAX and Flax models with Comet
JAX is a Python library offering high performance in machine learning with XLA and Just In Time (JIT) compilation. Its…
-
Customer Churn With Continuous Experiment Tracking
Introduction In today’s competitive business environment, retaining customers is essential to a company’s success. Customer churn, or the rate at…
-
Hyperparameter Tuning for Optimizing ML Performance
Hyperparameter tuning is a key step in order to optimize your machine learning model’s performance. Learn what it is and…
-
Large Language Models: Navigating Comet LLMOps Tools
Hey there! I’m so excited to talk to you about Language Models! They’re these incredible creations called Large Language Models…
-
Complete Guide to Image Labeling for Computer Vision
Image Source What Is Image Labeling? Image labeling focuses on identifying and tagging specific details in an image. It is…
-
Exploratory Data Analysis: Logging Seaborn Visualizations with Comet
Source: Photo by Pixabay Introduction Exploratory Data Analysis (EDA) is one of the primary tasks a Data Scientist performs when…
-
Image Transformations Using OpenCV in Python
Image transformations such as cartooning images are a common hobby for many people. Cartoons were a great source of entertainment…






