mjahangeerqureshi Goto Github PK

argent-paperless

artificial-neural-network-from-scratch

This is a code written in python with back propagation implemented by hand and using a simple sigmoid function.

bert

TensorFlow code and pre-trained models for BERT

brain-computer-interface-competition-code

This code was used for the 2017 Air Tech Brain Computer Interface Competition in Air University. The code applies various ML algorithms to the data provided and estimate their accuracies

classification-of-ecg-arrhythmia-signals

Classification of ECG Arrhythmia signals for detecting any abnormal beating patterns

classification-of-fnirs-signals-for-brain-computer-interfacing-using-deep-learning

Project involves the classification of fNIRS signals using deep learning.

credit-card-fraud-detection-using-ae

Classifiying transaction as normal or fraudulent

decoupled-neural-interfaces-using-synthetic-gradients

deedy-resume

A one page , two asymmetric column resume template in XeTeX that caters to an undergraduate Computer Science student

deeplearningworkshop

a collection of codes and models used in the machine learning work-shop

docker-elk

ecg_signal_classification

Classification of signal if they are normal or abnormal.

emg-classification-for-robotic-arm

use various ml algorithms to classify emg signals prosthetic arm

facenet-pytorch

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

fewshotnlu

Our open-source project, FewShotNLU, uses transfer learning, vector databases, and deep learning techniques to enable machines to understand language quickly and accurately with just a few examples. Join us and help build a future of natural language processing!

init_project

keras-vggface

VGGFace implementation with Keras Framework

multi-label_image_classification

Multi Genre Classification using Movie Posters

nbdev_template

oop_training

A demo of a managment system to emphasize OOP concepts

open_model_zoo

Pre-trained Deep Learning models and demos (high quality and extremely fast)

optimallazydialerwebapp

a webapp to showcase an optimal lazy dialer

python_training

A collection of exersices for python

qa-using-bidriectional-attention-flow

A Q&A Bot that scrapes various Search Engines and scrapes their top results. It passes the scraped text to the BIDAF along with the question with text to tag the relevant answer

questiongenerator

A small demo API / WebApp for generating Questions from an Arbitrary amount of text

rust-tutorial

A notebook to detail various Rust Concepts

rust-vectordb

A Key Value Database implementation in Rust.

segmentaion-suite

A suite for easily training and testing out different semantic segmentaion techniques

self-driving-car

The Udacity open source self-driving car project

semantic-segmentation-suite

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!