Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization

A curated list of 120+ LLM libraries category wise.

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Is a project focused on developing a machine learning model that automatically generates test cases based on user stories and acceptance criteria. This innovation streamlines the test creation proc…

The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

Automatic generation of test cases for web APIs using large language models

Simple PyTorch Tutorials Zero to ALL!

Book on MATLAB with Python

Hello Data Enthusiast! I will be updating my 100-day Journey here along with detailed Code Files Starting from Essential Libraries to Advanced Machine Learning and Deep Learning Algorithm Theory wi…

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

ArtGAN + WikiArt: This work presents a series of new approaches to improve GAN for conditional image synthesis and we name the proposed model as “ArtGAN”.

PyTorch Tutorial for Deep Learning Researchers

Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.

Tutorial Series (60 hour course): Essentials of computer vision

A curated list of awesome computer vision resources

Final course submission with PPT & Google Colab proof-of-concept. A VGG-16-based tool to auto-categorize websites for efficient penetration testing. Prioritizes targets, saves time, and detects ano…

This roadmap contains 16 Chapters that can be completed in 8 months, whether you are a fresher in the field or an experienced professional who wants to transition into Data Science.

Source code for Twitter's Recommendation Algorithm

A project which detects diseases based on image of the eye. Trained multiple Machine learning models like MobileNet, Yolo V3, Resnet to enhance the accuracy.

This is a machine learning program to detect whether someone has eye diseases based on the eye images. It also detects which disease the patient has. Data analysis has also been performed on ocular…

Automatic License Plate Recognition (ALPR) or Automatic Number Plate Recognition (ANPR) software that works with any camera.

🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.

Synthetic structured data generators

Diabetes prediction with deep MLP models webapp

The official documentation for Raspberry Pi computers and microcontrollers