Deep Learning

644+ posts

Last Updated: 11 October 2025

The Reparameterization Trick is used in probabilistic models like Variational Autoencoders (VAEs) to make random sampling differentiable. Usually, sampling breaks gradient...read more

Deep Learning

Simple Chatbot using Vector Embeddings

Last Updated: 20 August 2025

Vector embeddings transform text into numerical representations that capture the meaning and context, enabling the system to find related information even if the exact wor...read more

Deep Learning

Keras Tuner for Hyperparameter Optimization

Last Updated: 20 August 2025

Keras Tuner is a scalable and user-friendly framework designed to automate the hyperparameter optimization process for deep learning models built using Keras and TensorFlo...read more

Deep Learning

AI-ML-DS With Python

Implementing Custom Layers and Activation Functions in TensorFlow

Last Updated: 06 August 2025

TensorFlow is a flexible deep learning framework that supports both predefined and user defined components. While standard layers and activation functions work well for ma...read more

Deep Learning

AI-ML-DS With Python

Deploying PyTorch Models with TorchServe

Last Updated: 24 July 2025

TorchServe is an open-source model serving framework specifically designed for PyTorch models. Developed through collaboration between Facebook AI Research and AWS, it ena...read more

Deep Learning

AI-ML-DS With Python

Introduction to Temporal Analysis

Last Updated: 22 August 2025

Temporal analysis is the study of data as it changes over time. Unlike simply looking at data at one point or comparing static snapshots, temporal analysis focuses on patt...read more

Deep Learning

AI-ML-DS With Python

Transformers library

Last Updated: 24 July 2025

TheTransformerslibrary, maintained by Hugging Face, is the leading open-source toolkit for working with state of the art machine learning models across text, vision, audio...read more

Deep Learning

AI-ML-DS With Python

TorchServe

Last Updated: 25 July 2025

TorchServeis a flexible and production ready model serving framework developed by AWS and Facebook (Meta) for deploying PyTorch models at scale. It provides a robust solut...read more

Deep Learning

AI-ML-DS With Python

Darts time series forecasting

Last Updated: 22 August 2025

Darts is a Python library that makes time series forecasting simple and flexible. It supports many models from basic ones like ARIMA to advanced deep learning models like ...read more

Deep Learning

AI-ML-DS With Python

Neural Collaborative Filtering

Last Updated: 04 August 2025

Neural Collaborative Filtering (NCF) is an improved version of traditional recommendation systems that uses deep learning to make better suggestions. It is an advanced ver...read more

Neural Network

Deep Learning

What is TensorRT?

Last Updated: 24 July 2025

TensorRTis an optimized inference library and toolkit developed by NVIDIA to maximize the performance (speed and efficiency) of deep learning models on NVIDIA GPUs. Its ma...read more

Deep Learning

AI-ML-DS With Python

What is ViLT (Vision-and-Language Transformer)

Last Updated: 23 August 2025

ViLT is a deep learning model that understands both images and text together using a single transformer. Unlike other models that need complex vision systems like CNNs, Vi...read more

Deep Learning

AI-ML-DS With Python

PyTorch Quantization

Last Updated: 22 July 2025

Quantizationis a core method for deploying large neural networks such as Llama 2 efficiently on constrained hardware, especially embedded systems and edge devices. The aim...read more

Deep Learning

AI-ML-DS With Python

PettingZoo : Multi-Agent Reinforcement Learning

Last Updated: 18 July 2025

PettingZoois a Python library designed specifically formulti-agent reinforcement learning (MARL)research. Its aim is to provide a standardized, scalable and user-friendly ...read more

Artificial Intelligence

Deep Learning

Stable-Baselines3

Last Updated: 17 July 2025

Stable-Baselines3 (SB3)is a powerful, open-source Python library built on PyTorch, designed to make reinforcement learning (RL) practical and accessible. It provides modul...read more

ML-Reinforcement

Deep Learning

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