📌 +2500 elo Machine Learning based chess engine + Game Theory Algorithms , made from basic chess rules + neural networks + evaluation function

A Repository consisting resources primarily of the Gate DA and AI

M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

This repo contains a C++ code for camera calibration and panoramic image representation.

A machine learning solution for extracting key entity values (weight, volume, dimensions) from product images.

This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, …

Official implement of Paper：A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sening images

Techniques for deep learning with satellite & aerial imagery

A new change detection dataset in "A Deeply-supervised Attention Metric-based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection"

Official Pytorch Implementation of "Remote Sensing Image Change Detection with Transformers"

Programming Lab Assignments of Savitribai Phule Pune University(SPPU) Third Year(TE) Computer Engineering 2019-20.

Trading Environment(OpenAI Gym) + PPO(TensorForce)

State-of-the-Art Text Embeddings

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

An experimental framework for running ML Models inside the Grasshopper / Rhino environment

Feature Engineering concepts by Krish Naik

LLM training in simple, raw C/CUDA

Pytorch implementation for reproducing AttnGAN results in the paper AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks by Tao Xu, Pengchuan Zhang, Qiuyu…

Simple Tensorflow implementation of "AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks" (CVPR 2018)