AnshMittal1811/DeepLearningProjects

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Created almost 4 years ago
Updated about 3 years ago

AnshMittal1811/DeepLearningProjects

AnshMittal1811

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MachineLearning-AI

This repository contains all the work that I regularly did and studied from Medium blogs, several research papers, and other Repos (related/unrelated to the research papers).

100_Days_for_ComputerVision_Papers

This is a repo where I keep a track of the Computer Vision papers that I am reading

DLinComputerVision

AnshMittal1811

The front page of my GitHub ReadMe. Feel free to use it as you like.

Pytorch

Jupyter Notebook

Spring2022SentimentAnalysis

Jupyter Notebook

NLP

daMCONCNN

Jupyter Notebook

PneumoniaModelsAnalysis

DataDrivenAstronomy

Jupyter Notebook

HandwrittenEquationSolver

BrainTumorClassification

This is the code and figures for the paper "AiCNNs (Artificially-integrated Convolutional Neural Networks) for Brain Tumor Prediction".

Jupyter Notebook

Tensorflow-Advanced-Techniques

Jupyter Notebook

QuantumMLSSQiskit

Jupyter Notebook

AdvancedMLSpecialization

Jupyter Notebook

Computer-aidedDiseaseRecognition

ContinualLearning

GANs-Specialization

Jupyter Notebook

NLPSpecialization

100daysofdevops

Different Concepts related to Machine Learning Infrastructure, MLOps, and Machine Learning Deployment.

AIHybridFullWorldModel

My First AI project done by referencing the model explained in https://worldmodels.github.io/. I'm really thankful to all the authors of this work. This is by no means my own work. It's just restructured and the CNN-VAE and MDN-RNN main codes have been coded by myself which is also annotated by comments.

PneumoniaDetection

The URL for the paper corresponding to this work is given in the following URL: https://www.mdpi.com/1424-8220/20/4/1068. The model described in this paper can only distinguish between Pneumonia and Normal X-ray scans. This paper achieves an accuracy of approximately 96.36 % when detecting pneumonia from chest x-ray images using E4CC.

Jupyter Notebook