Pinned Repositories
911-Project
AI-Reception-Robot
analyze-tremor-bradykinesia-PD
This repository contains Python code that can be used to build analytics to measure aspects of tremor and bradykinesia in patients with Parkinson's Disease. These analytics utilize accelerometer data from a wrist-worn wearable device.
awesome-bangla
A collection of tools, datasets and resources on Bangla computing
Bangal_OCR-using_CRNN-with-CTC-loss
BanglaLM-Dataset
Chatbot-transformer-
Cross-validation-Decision-Tree-Random-Forest
example
Feature-extraction-from-audio-signal
Shehan-Irteza-Pranto's Repositories
Shehan-Irteza-Pranto/911-Project
Shehan-Irteza-Pranto/AI-Reception-Robot
Shehan-Irteza-Pranto/analyze-tremor-bradykinesia-PD
This repository contains Python code that can be used to build analytics to measure aspects of tremor and bradykinesia in patients with Parkinson's Disease. These analytics utilize accelerometer data from a wrist-worn wearable device.
Shehan-Irteza-Pranto/awesome-bangla
A collection of tools, datasets and resources on Bangla computing
Shehan-Irteza-Pranto/Bangal_OCR-using_CRNN-with-CTC-loss
Shehan-Irteza-Pranto/BanglaLM-Dataset
Shehan-Irteza-Pranto/Chatbot-transformer-
Shehan-Irteza-Pranto/Cross-validation-Decision-Tree-Random-Forest
Shehan-Irteza-Pranto/example
Shehan-Irteza-Pranto/Feature-extraction-from-audio-signal
Shehan-Irteza-Pranto/flashlight
A C++ standalone library for machine learning
Shehan-Irteza-Pranto/medical_audio_speech_recog
Shehan-Irteza-Pranto/MI-BCI_ML
This is a brain game that is controlled by the brain signal. Mainly, it is a research project for disabled people.
Shehan-Irteza-Pranto/ml-python
ML with Python: "শূন্য থেকে পাইথন মেশিন লার্নিং" বইয়ের ওয়ার্কবুক
Shehan-Irteza-Pranto/nolds
Nonlinear measures for dynamical systems (based on one-dimensional time series)
Shehan-Irteza-Pranto/parkinsons-detector
This project explores using machine learning methods for detection of Parkinson's disease using an individual's speech.
Shehan-Irteza-Pranto/pdkit
An Open Source Data Science toolkit for Parkinson's Disease
Shehan-Irteza-Pranto/PyFeat
A Python-based Effective Feature Generation Tool from DNA, RNA, and Protein Sequences
Shehan-Irteza-Pranto/python-audio
Some Jupyter notebooks about audio signal processing with Python
Shehan-Irteza-Pranto/python-docs-hello-world
A simple python application for docs
Shehan-Irteza-Pranto/Python-Numpy-Tutorial
Shehan-Irteza-Pranto/SincNet
SincNet is a neural architecture for efficiently processing raw audio samples.
Shehan-Irteza-Pranto/sonopy
A simple audio feature extraction library
Shehan-Irteza-Pranto/Speaker-Identification-Python
Speaker Identification System (upto 100% accuracy); built using Python 2.7 and python_speech_features library
Shehan-Irteza-Pranto/Speaker-Recognition
Speaker Recognition Module for digital attendance.
Shehan-Irteza-Pranto/Speaker-Recognition-1
Speaker Recognition System using MFCC and GMM.
Shehan-Irteza-Pranto/surfboard
Novoic's audio feature extraction library
Shehan-Irteza-Pranto/TensorFlow2
হাতেকলমে পাইথন ডিপ লার্নিং (TensorFlow 2.x) বইয়ের ব্যবহৃত নোটবুক, লিংক: http://bit.ly/bn_dl
Shehan-Irteza-Pranto/Titanic-Survival-Prediction
It's a supervised learning based project . I have used the Logistic Regression algorithm for prediction
Shehan-Irteza-Pranto/UPDRS-Forecast
In this repository, we will be addressed a regression problem that will allow us to predict the value of two outputs within the UPDRS scale. This problem is related to Parkinson's disease. The language that will be used here will be Python.