nchappa's repositories
nchappa.github.io
Personal Website
autoCV
clean CV LaTex template with GitHub Actions that compile and publish new changes
zero2hero
Official implementation of "From Zero to Hero: Convincing with Extremely Complicated Math".
uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2021/Spring 2022
opensim-core
SimTK OpenSim C++ libraries and command-line applications, and Java/Python wrapping.
TS-TCC
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
TransPose
A real-time motion capture system that estimates poses and global translations using only 6 inertial measurement units
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')
mobile-ar-sensor-logger
Camera and inertial measurement unit (IMU) data logger for Android and iOS
SelfHAR
Improving Human Activity Recognition through Self-training with Unlabeled Data
har-with-imu-transformer
Intertial-based Human Activity Recognition with Transformers
Human_Activity_Recognition_using_Wearable_Sensors_Review_Challenges_Evaluation_Benchmark
This github is an implementation for accepted manuscript titled Human Activity Recognition using Wearable Sensors: Review, Challenges, Evaluation Benchmark.
mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Human-Activity-Recognition
This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.
AML_Project_Fall19
This repository was made for the final project requirements of course Advanced Machine Learning (CS5824), Fall 2019
imu-human-pose-pytorch
This is an official Pytorch implementation of "Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric Approach, CVPR 2020".
awesome-human-motion
🏃♀️ A curated list about human motion capture, analysis and synthesis.
aimldevfest-workshop-2019
TinyML on Arduino @ AI/ML DevFest Workshop - September 28, 2019
Human-Activity-Recognition-1
Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.
Activity-Detection-using-IMU-sensor
User activity detection using IMU (Inertial Measurement Unit) sensors and power of deep learning. The accelerometer data from smart wearables is used for continuous activity detection, which can be used for in depth activity monitoring and recommender systems.
crisp
Camera-to-IMU calibration and synchronization toolbox