Yashwardhan Deshmukh (yaashwardhan)

yaashwardhan

Geek Repo

Company:Max Planck Institute for Intelligent Systems

Location:Stuttgart, Germany

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Yashwardhan Deshmukh's repositories

On-Device-Machine-Learning-App-TensorfowLite-and-Flutter

This App can detect 30+ types of Fruits and Veggies using on-Device Machine Learning

AI-Plays-Flappy-Bird-Using-NEAT

Programming an AI using NeuroEvolution of Augmenting Topologies (NEAT) and Python to play Flappy Bird for me. Massive thanks to YouTuber TechwithTIm

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OpenCV-Automated-Attendance-System

Python Mini Project, using OpenCV's Haar's Cascade Classifiers.

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TestGen.ai

Question Generation Platform using Fine-Tuned T5 Transformers

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DM-DL-Pipeline

Implemented 7 Tasks. All Tests passed with desired results.

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CoviTech---Covid-Detection-and-News

A simple website UI to keep track of the latest covid news and resources. Also includes a TensorflowJS model to detect Covid status on computed tomography scans.

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KerasTuner-TF2

KerasTuner in TensorFlow 2

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BrainStain.ai

Brain tumor sementation using U-NET architecture and Sorensen Dice Index metric.

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stablediffusion

High-Resolution Image Synthesis with Latent Diffusion Models

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3D_pretrained_models_fork

Set of models for classifcation of 3D volumes

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AppleScripts-for-Loupedeck

Collection of Apple Scripts I wrote for my Loupedeck macropad.

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awesome-mlss

List of summer schools in machine learning + related fields across the globe

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DeepLenseSim

Software for simulations used in the DeepLense project

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Dreambooth-Stable-Diffusion

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

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intl_phone_field

A customised Flutter TextFormField to input international phone number along with country code.

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invisible-watermark

python library for invisible image watermark (blind image watermark)

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Keras-SRGAN

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras

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Machine-Learning-Interviews

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

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ML4SCI.github.io

Machine Learning for Science github site

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