tasnimsamir's Stars
TheAlgorithms/Python
All Algorithms implemented in Python
datastacktv/data-engineer-roadmap
Roadmap to becoming a data engineer in 2021
aamini/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Project-MONAI/MONAI
AI Toolkit for Healthcare Imaging
biopython/biopython
Official git repository for Biopython (originally converted from CVS)
POSTECH-CVLab/PyTorch-StudioGAN
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
black0017/MedicalZooPytorch
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
ramprs/grad-cam
[ICCV 2017] Torch code for Grad-CAM
lindawangg/COVID-Net
COVID-Net Open Source Initiative
braindecode/braindecode
Deep learning software to decode EEG, ECG or MEG signals
MicrosoftDocs/ai-fundamentals
Code samples for AI fundamentals
mmalekzadeh/motion-sense
MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)
bregydoc/bcidatasetIV2a
This is a repository for BCI Competition 2008 dataset IV 2a fixed and optimized for python and numpy. This dataset is related with motor imagery
haydengunraj/COVIDNet-CT
COVID-Net Open Source Initiative - Models and Data for COVID-19 Detection in Chest CT
bhrigu123/huffman-coding
Python Implementaion of Huffman Coding - compression and decompression
manassra/LZ77-Compressor
A simplified implementation of the LZ77 compression algorithm
romanchereshnev/HuGaDB
Database for human gait analysis consisting of continues recordings of combined activities, such as walking, running, taking stairs up and down, sitting down, and so on; and the data recorded are segmented and annotated. Data were collected from a body sensor network consisting of six wearable inertial sensors (accelerometer and gyroscope) located on the right and left thighs, shins, and feet. Additionally, two EMG sensors were used on the quadriceps (front thigh) to measure muscle activity.
iliasprc/COVIDNet
PyTorch implementation of COVID-Net https://github.com/lindawangg/COVID-Net
chintanop/health-vocabulary-rest-api
HaVoc a simple REST API to quickly build smart health apps powered by health/biomedical vocabularies.
aritchie/sensors
Reactive mobile device sensors plugin for iOS, Android, & UWP. Support sensors - accelerometer, ambient light, barometer, compass, gyroscope, magnetometer, pedometer, and proximity
cbhanu/BCI_EEGNet
EEGNet implementation of 2 BCI competition datasets
haird4426/motor-imagery-classification
BCI Competition IV dataset 2a
mhmmdshirazi/QT-Mobile-Sensors
Here's a simple Qt application for mobile devices both IOS and Android. It can capture and indicate the mobile phone sensors and GPS data.
pranaysy/ETCPy
Compute Effort To Compress (ETC) using the NSRPS algorithm in Python
rajatdiptabiswas/dna-compression
š§¬ Analyzing compression algorithms for genomic sequencing data
pluskid/pyppm
PPM (Predict by Partial Matching) compression algorithm implementation for Python
SeboMaier/Mobile-Robot-Path-Planning-PPO
DRL agent that uses range sensors to aviod collisions
CagriUysal/Data-Compression-Algorithms
Compression Algorithms Implementation using Matlab
IBM-SkillsAcademy/Predictive-Analytics-Modeler
HuyVu0508/kinect-rehabilitation
A proposed model for physical rehabilitation assisting using Kinect.