The attention mechanism in Transformers began a revolution in deep learning that led to numerous researches in different domains
Text Generation is a task in Natural Language Processing in which text is generated with some constraints such as initial characters words
Deep Imbalanced Regression, DIR, helps effectively perform regression tasks in deep learning models with imbalanced regression data
Sentiment Analysis is a text classification application in which a given text is classified into either a positive class or a negative class
Recursion and iteration in Python helps one to write a few lines of codes to perform repetitive tasks with a common pattern
Image Generation is one of the most curious applications in Computer Vision. Variational Autoencoders and GANs are the preferred base models
Linear regression is a machine learning task finds a linear relationship between the features and target that is a continuous variable.
Logistic regression is a basic classification algorithm. This article discusses the math behind it with practical examples & Python codes.
Ensemble Learning is the process of gathering more than one machine learning model in a mathematical way to obtain better performance.
Object detection is the process of classifying and locating objects in an image using a deep learning model. Object detection is a crucial task in
VDSM is a novel unsupervised approach with a hierarchical architecture that learns disentangled representations through inductive bias.
Dimensionality reduction is the process of extracting the most important dimensions, discarding the unimportant dimensions
Semantic segmentation in computer vision is the supervised process of pixel-level image classification into two or more Object classes
3D deep learning finds crucial applications nowadays in many domains, including robotics, autonomous driving, virtual reality, and medical diagnosis. The 3D data required for training
Transfer Learning is the approach of making use of an already trained deep learning model along with its weights for a related task
NVIDIA’s Kaolin is a PyTorch library for all 3D deep learning needs from data preprocessing to model deployment, intending faster research
Computer Vision attempts what a human brain does with the aid of eyes. It is a branch of Deep Learning that deals with images and videos.
The Google Brain team has introduced STAC, semi-supervised learning (SSL) framework to perform object detection in a simplified way
Deep Learning is a subset of Machine learning. It was developed to have an architecture and functionality similar to that of a human brain.
Facebook’s D2Go with in-built Detectron2 is the state-of-the-art toolkit for training & deployment of computer vision models on mobile devices
Pandas is famous for its datetime parsing, processing, analysis & plotting functions. It is vital to inform Python about date & time entries.
Stochastic Differential Equations (SDE) in a score-based generative model solve conditioned inverse problems such as inpainting, colorization
Goodness-of-Fit test, a traditional statistical approach, gives a solution to validate our theoretical assumptions about data distributions.
Avalanche is an open-source Python library for quick prototyping, training, evaluation, benchmarking & deployment in Continual Learning tasks
Data Science relies heavily on Linear Algebra. NumPy offers array-like data structures & dedicated operations and methods for Linear Algebra.
LayoutParser is a Python library for Document Image Analysis with unified coding and a great collection of pre-trained deep learning models
MMDetection is a Python toolbox built as a codebase exclusively for object detection and instance segmentation tasks
Image processing is carried out in all stages of Computer Vision such as preprocessing images, deep learning modeling and post-processing
Giotto-Time is an open-source Python library to perform time-series forecasting in machine learning with simple codes and built-in pipelines.
ANOVA is one of the statistical tools that helps determine whether two or more data samples o have significantly identical properties
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