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AI-ML-DS With Python

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Contrastive Learning with SimCLR in PyTorch

Last Updated: 25 June 2025

SimCLR (Simple Framework for Contrastive Learning of Visual Representations) is a self-supervised learning approach that learns powerful image representations without labe...read more

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AI-ML-DS With Python

Neural Style Transfer in Keras

Last Updated: 26 June 2025

Neural Style Transfer (NST) is a fascinating deep learning technique that blends two images a content image and a style image to create a new, synthesized image that maint...read more

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AI-ML-DS With Python

Signal Filtering with scipy

Last Updated: 21 June 2025

Signal filtering is a fundamental technique in signal processing used to enhance, clean or isolate specific components of a signal by removing unwanted noise or frequencie...read more

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AI-ML-DS With Python

Basic Function in SciPy

Last Updated: 23 June 2025

SciPy is a Python library used for scientific and technical computing. It builds on NumPy and provides advanced tools to solve mathematical problems like integration, opti...read more

AI-ML-DS With Python

Morphological Operations in SciPy

Last Updated: 21 June 2025

Morphological operations are a set of image processing techniques used to process geometrical structures in binary or grayscale images. They are primarily used for tasks s...read more

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AI-ML-DS With Python

Regression Analysis with SciPy

Last Updated: 23 June 2025

Regression analysis is a statistical technique used to examine the relationship between one or more independent variables and a dependent variable. It helps in modelling a...read more

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AI-ML-DS With Python

SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Last Updated: 26 June 2025

SimCLR, developed by researchers at Google Brain, is a self-supervised learning framework that learns visual representations without requiring labeled data. It is built up...read more

AI-ML-DS With Python

Reinforcement Learning with Intrinsic Motivation

Last Updated: 24 June 2025

In traditional reinforcement learning, an agent learns by receivingrewards from the environment for example, a robot gets a point for reaching a goal, or a game-playing AI...read more

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AI-ML-DS With Python

Last Updated: 25 June 2025

XGBClassifier is an efficient machine learning algorithm provided by the XGBoost library which stands for Extreme Gradient Boosting. It is widely used for solving classifi...read more

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Machine Learning

Machine Learning

AI-ML-DS With Python

Curiosity-Driven Exploration in Reinforcement Learning

Last Updated: 25 June 2025

Curiosity-driven exploration is approach in reinforcement learning (RL) that addresses the challenge of sparse or delayed rewards by introducing internal, self-generated i...read more

AI-ML-DS With Python

Scikit Learn Tutorial

Last Updated: 26 June 2025

Scikit-learn (also known as sklearn) is a widely-used open-source Python library for machine learning. It builds on other scientific libraries like NumPy, SciPy and Matplo...read more

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Machine Learning

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Language models are few-shot learners

Last Updated: 25 June 2025

Few-shot learning is a machine learning approach where a model learns to perform new tasks or recognize new categories using only a small number of labeled examples, rathe...read more

Machine Learning

Machine Learning

AI-ML-DS With Python

Flexible Clustering

Last Updated: 25 June 2025

Clustering is a fundamental task in unsupervised machine learning that involves grouping similar data points into clusters. Flexible Clustering refers to a set of modern t...read more

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Machine Learning

Machine Learning

AI-ML-DS With Python

Grouped Query Attention (GQA)

Last Updated: 26 June 2025

Grouped Query Attention (GQA) is an optimization technique for transformer models that balances computational efficiency and model performance. Inspired by the multi-head ...read more

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AI-ML-DS With Python

Sequential vs Functional API in Keras

Last Updated: 26 June 2025

Keras provides two main ways to build deep learning models: the Sequential API and the Functional API. Both are part of the Keras high-level API, but they differ in terms ...read more

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