21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

Repo for the Deep Reinforcement Learning Nanodegree program

Documentation for Google's Gen AI site - including the Gemini API and Gemma

A collection of Jupyter notebooks to play with NVIDIA's StyleGAN3 and OpenAI's CLIP for a text-based guided image generation.

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview que…

A colab notebook for training Stylegan2-ada on colab, transfer learning onto your own dataset.

Implementation of Swin Transformers in TensorFlow along with converted pre-trained models, code for off-the-shelf classification and fine-tuning.

The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoencoders and feature extraction, Transfer learning, RNN, LSTM,…

Uncertainty Guided Progressive GANs for Medical Image Translation

The repository contains the Jupyter Notebook that perform semantic segmentation using the famous U-Net. The encoder of the U-Net is replaced with the pretrained encoder.

A Google Colab notebook to convert your low-resolution StyleGAN models into higher-resolution checkpoints so you can continue training!

Generating Medical Images using GANs

This repository hosts all the code and information related to CAMUS challenge.

Postgraduate Artificial Intelligence resources from Queen Mary, University of London.

Notebook with implementation and visualization of Gaussian Mixtures and the EM Algorithm

This repo contains different sets of problems solve in python. From the beginning level to the Advance level of python problems.

Computer Vision Project - LV Segmentation using Deep Learning, Active Contour, and Principle Component Analysis

Feeding an SVM w/ 2D human coordinates to estimate its visual focus of attention

This repository is for an exercise code to teach college students to understand the principles of artificial intelligence using satellite imagery.

This repo is a part of my MTech Project at IIT Jodhpur. This U-Net model is used to do segmentation on CAMUS dataset.

Echocardiographic image segmentation and volume estimation from 2D ultrasound sequences (both two and four-chamber views)

LV Segmentation using U-Net with Kfold cross validation

In this project we will conduct exploratory probability distribution fitting and a time-series analysis of twitter data to identify any trends