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jyotsnaedathoot's Projects

actionai icon actionai

Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints

direcformer icon direcformer

[CVPR'22] DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition

dl-for-har icon dl-for-har

Official GitHub page of the best-paper award publication "Improving Deep Learning for HAR with shallow LSTMs" presented at the International Symposium on Wearable Computers 21' (ISWC 21')

har_transformer icon har_transformer

Imperial group software engineering project. We built the world's first multi-target human activity recognition (HAR) dataset and detected human motion with 3 types of DL models: CNN, LSTM, and transformer.

homemade-machine-learning icon homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

kinetic-gan icon kinetic-gan

Code for the paper "Generative Adversarial Graph Convolutional Networks for Human Action Synthesis", WACV 2022

ml-from-scratch icon ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

mmlab_har icon mmlab_har

A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.

naive-bayes icon naive-bayes

Implements Naive Bayes and Gaussian Naive Bayes Machine learning Classification algorithms from scratch in Python.

oracle icon oracle

Scratch Implementations of Major Machine Learning Algorithms

proposal icon proposal

Samples to demonstrate use of the WebXR Device API

signlanguagedetection_lstm icon signlanguagedetection_lstm

Repository for Sign Language Action Detection using LSTM Deep Neural Network. Achieved an accuracy of 90%. Trained and test in real time.

trail-har-gcnn icon trail-har-gcnn

Code for HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data, IEEE PerCom CoMoRea 2022

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