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Deepraj Majumdar's Projects

5g-vanet icon 5g-vanet

5G assisted software defined vehicular network for cooperative data sharing

aniportrait icon aniportrait

AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animation

apni_mitra icon apni_mitra

A Deep Learning Model that instantly recognizes your emotions and mental health using deep learning neural network libraries and suggests whether a person is annoyed, happy, neutral, depressed, and sad and suggests whether necessary steps should be taken to help them or not.

bubble-sort-in-c icon bubble-sort-in-c

A Normal C Code implementation of Bubble Sort for budding Data Structure and Algorithms enthusiast

c-total-course icon c-total-course

This repo will be containing questions and solutions for anyone who wants to be a hero from zero in C++

c4.5 icon c4.5

A python implementation of C4.5 algorithm by R. Quinlan

champsim icon champsim

ChampSim is an open-source trace based simulator maintained at Texas A&M University and through the support of the computer architecture community.

champsim-improved icon champsim-improved

Enhanced ChampSim with a hybrid branch predictor combining perceptron and neural network methods, improving CPU architecture simulation accuracy and performance evaluation.

cogvideo icon cogvideo

Text-to-video generation: CogVideoX (2024) and CogVideo (ICLR 2023)

collateral-learning icon collateral-learning

Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks

computer-vision-course-assignments icon computer-vision-course-assignments

Detailed solutions to three programming assignments from the Computer Vision course taught by Prof. Renato Martins, covering corner detection, object recognition, and epipolar geometry.

computer-vision-project-ay-2024 icon computer-vision-project-ay-2024

This project presents a real-time face emotion detection system implemented as a full-stack desktop application. The system integrates deep learning techniques to accurately classify human emotions, including happiness, sadness, anger, surprise, disgust, fear, and neutral expressions, from live video streams or camera inputs. Download apk file :-

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