Pinned Repositories
128-Bit-AES-Encryption-and-Decryption-in-Verilog
This is a project meant to be run on an FPGA that was Implemented in the Verilog HDL using Xilinx ISE design suite.
aes128-hdl
A high-throughput VHDL and SystemVerilog implementation of AES-128 including scripts for a full front-end design process.
AugmentDataforBCI
In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data using a Convolutional Neural Network tailored for EEG named EEGNet.
CNNs-for-Human-Activity-Recognition
Convolutional Neural Network for classifying human activity from mobile phone sensor data
DeepFakeDetection
DeepFool
PyTorch implementation of DeepFool adversarial attack.
DeepFool_MNIST
Based on Pytorch, the Adversarial Attack algorithm DeepFool, targeting the Mnist data set and ResNet18 network
EEG-GAN
GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, datasets 2a. Final project for UCLA's EE C247: Neural Networks and Deep Learning course.
EEG-GANs
Using DCGAN, WGAN & WGAN-GP in Augmentation of EEG data for BCIs
ViTObjectDetection
pragyasharma123's Repositories
pragyasharma123/128-Bit-AES-Encryption-and-Decryption-in-Verilog
This is a project meant to be run on an FPGA that was Implemented in the Verilog HDL using Xilinx ISE design suite.
pragyasharma123/AugmentDataforBCI
In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data using a Convolutional Neural Network tailored for EEG named EEGNet.
pragyasharma123/DeepFakeDetection
pragyasharma123/DeepFool
PyTorch implementation of DeepFool adversarial attack.
pragyasharma123/DeepFool_MNIST
Based on Pytorch, the Adversarial Attack algorithm DeepFool, targeting the Mnist data set and ResNet18 network
pragyasharma123/EEG-GANs
Using DCGAN, WGAN & WGAN-GP in Augmentation of EEG data for BCIs
pragyasharma123/ViTObjectDetection
pragyasharma123/Emotion-detection
Real-time Facial Emotion Detection using deep learning
pragyasharma123/FAANG-Coding-Interview-Questions
A curated List of Coding Questions Asked in FAANG Interviews
pragyasharma123/facial-landmarks-recognition
pragyasharma123/GazeTracking
👀 Eye Tracking library easily implementable to your projects
pragyasharma123/google-research
Google Research
pragyasharma123/hagrid-profiling
pragyasharma123/hand-gesture-recognition
This is a multi-task neural network which incorporates deconvolution layers and MLP with a single features extractor to maximize the performance of multi-class classification.
pragyasharma123/huggingface-transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
pragyasharma123/Human-Activity-Recognition
Recognizing human activities using Deep Learning
pragyasharma123/mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
pragyasharma123/mlsys2025experiments
pragyasharma123/MNIST_BRAIN_DIGITS_PRE-PROCESSING
Many-in-one repo: The "MNIST" of Brain Digits - Thought classification, Motor movement classification, 3D cancer detection, and Covid detection
pragyasharma123/Mouse_Cursor_Control_Handsfree
This HCI (Human-Computer Interaction) application in Python(3.6) will allow you to control your mouse cursor with your facial movements, works with just your regular webcam. Its hands-free, no wearable hardware or sensors needed.
pragyasharma123/posenet-pytorch
A PyTorch port of Google TensorFlow.js PoseNet (Real-time Human Pose Estimation)
pragyasharma123/pragyasharma123
Config files for my GitHub profile.
pragyasharma123/PyGaze
an open-source, cross-platform toolbox for minimal-effort programming of eye tracking experiments
pragyasharma123/PyTorch-GANSER
Official implementation of the paper "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"
pragyasharma123/pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
pragyasharma123/SSVEP-Neural-Generative-Models
Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification
pragyasharma123/tf-blazepose
BlazePose - Super fast human pose detection on Tensorflow 2.x
pragyasharma123/unipose-profiling-
pragyasharma123/ViTPoseandGesture
pragyasharma123/WideResNet_MNIST_Adversarial_Training
WideResNet implementation on MNIST dataset. FGSM and PGD adversarial attacks on standard training, PGD adversarial training, and Feature Scattering adversarial training.