srajan-kiyotaka

AI-ML-DL-Resource

Artificial Intelligence, Machine learning and Deep Learning Resources. 🚀 FREE AI/ML/DL Resources - 🎓 Courses, 📝 Blogs, 🔬 Research, and many more - for everyone!

Alzheimer-Disease-Prediction

I will use the CT Scan of the brain image dataset to train the CNN Model to predict the Alzheimer Disease.

CoconifiAi-Face-Recognation-Cum-Reverse-Search

Face recognition system which learns to recognise faces. Only one image is sufficient for the model to recognise the person. But that's not it if the image of the person does not match any face available in the database then We have also provided an option to do a reverse image search on the unknown face to extract the metadata of similar images.

Creating-Multi-Task-Models-With-Keras

I created a Deep Learning Model which can do multiple task at a same time using tensorflow and keras.

Deep-Learning-with-PyTorch-Neural-Style-Transfer

Deep Learning model using PyTorch in Neural Style Transfer!

Face-Mask-Detector

I used Deep Learning CNN Model to Detect Whether The Person is Wearing a Mask or Not in Real Time Using Web Cam.

Heart-Disease-Classifier

The Deep Learning Model Predict the Heart Disease using ECG Images of the Patient!

Pothole-Detection

The Model will detect whether the image consists of potholes or not. If the image consists of pothole then it will detect the total number of potholes in the image as well as it will assign them a level.

Re-Cafe

A Python-based terminal application for streamlined café management. By employing multiple Python scripts, I established a seamless mechanism to handle, manage, and store café data, utilizing CSV files as the database infrastructure.

TraverseCraft

TraverseCraft is a versatile Python library for creating static, animated, and interactive visualizations, enabling robust simulations for AI, RL, and ML. Ideal for students, educators, and researchers, it allows real-time observation of algorithm behaviors with an intuitive interface.

srajan-kiyotaka/CoconifiAi-Face-Recognation-Cum-Reverse-Search

Face recognition system which learns to recognise faces. Only one image is sufficient for the model to recognise the person. But that's not it if the image of the person does not match any face available in the database then We have also provided an option to do a reverse image search on the unknown face to extract the metadata of similar images.

srajan-kiyotaka/AI-ML-DL-Resource

Artificial Intelligence, Machine learning and Deep Learning Resources. 🚀 FREE AI/ML/DL Resources - 🎓 Courses, 📝 Blogs, 🔬 Research, and many more - for everyone!

srajan-kiyotaka/Pothole-Detection

The Model will detect whether the image consists of potholes or not. If the image consists of pothole then it will detect the total number of potholes in the image as well as it will assign them a level.

srajan-kiyotaka/Re-Cafe

A Python-based terminal application for streamlined café management. By employing multiple Python scripts, I established a seamless mechanism to handle, manage, and store café data, utilizing CSV files as the database infrastructure.

srajan-kiyotaka/TraverseCraft

TraverseCraft is a versatile Python library for creating static, animated, and interactive visualizations, enabling robust simulations for AI, RL, and ML. Ideal for students, educators, and researchers, it allows real-time observation of algorithm behaviors with an intuitive interface.

srajan-kiyotaka/bayes_Net_Sample

⚡ Python library to compute an input probability query on a given Bayes net on discrete random variables using Prior sampling, Rejection Sampling, Likelihood weighting and Gibbs sampling.

srajan-kiyotaka/Dungeons-and-Dragons

Dungeons and Dragons is a fantasy tabletop RPG where players create characters, explore dungeons, fight monsters and interact with a fantasy world. Players take on the role of elves, dwarves, humans, etc. and embark on adventures.

srajan-kiyotaka/My-AI-ML-Deep-Learning-Track

srajan-kiyotaka/NFT-Generative-Art-using-Python

This is a project for creating generative abstract art-work using Python. This project is simplified and only focuses on using Python to create an Art.

srajan-kiyotaka/srajan-kiyotaka

Config files for my GitHub profile.

srajan-kiyotaka/Android-Basics

Android Study Jams 2022

srajan-kiyotaka/DSC-Learning-Resources

DSC Learning Resources

srajan-kiyotaka/example_package_Srajan_Chourasia

A small example package for CS310 LAB Assignment!

srajan-kiyotaka/free-ai-resources

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

srajan-kiyotaka/Git-Github-Hacktoberfest-Session

The workshop will help you in starting contributing to Hacktoberfest as well as help you delve deeper into the open-source community.

srajan-kiyotaka/Haskell-Recipe

This repository contains the recipe to become good in Haskell, It contains various Practice Question as well as there solutions. It also contains basic codes of various Haskell tasks.

srajan-kiyotaka/srajan-kiyotaka.github.io

My Portfolio Website!

srajan-kiyotaka/.github

srajan-kiyotaka/AI_class_resource

srajan-kiyotaka/CodeHelp-DSA-Busted-Series

This repo is creating providing students easy access to all the programs taught under Codehelp's DSA Busted Series.

srajan-kiyotaka/DSA-CRACKER

This is an attempt to solve 450 questions carefully curated by Love Babbar.

srajan-kiyotaka/hs421-2024

srajan-kiyotaka/introduction-srajan-kiyotaka

introduction-srajan-kiyotaka created by GitHub Classroom

srajan-kiyotaka/Machine-Learning-101

Data Science, Machine Learning, and Deep Learning. Projects, Tutorials and Cheatsheets.

srajan-kiyotaka/MLH-Global-Hack-Weeks

MLH Global Hack Weeks

srajan-kiyotaka/My-Web-Dev-for-AI-ML-DL-Journey

My Web Development for AI/ML/Deep Learning RoadMap/Journey!

srajan-kiyotaka/python-generative-art-tutorial

Tutorial repository for Python generated art.

srajan-kiyotaka/Speech-Text

Speech to text and Text to speech.

srajan-kiyotaka/tejaslolage07

My profile

srajan-kiyotaka/text-recognition-model

Trained a text recognition model that extracts textual information from images using the Tesseract module.