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a-to-z-resources-for-students

A to Z Resources for students as well as working proffessionals

ab-test-rl

Using reinforcement learning for AB test

active-learning-on-regression

Regression problems are pervasive in real-world applications. Generally a substantial amount of labeled samples are needed to build a regression model with good general- ization ability. However, many times it is relatively easy to collect a large number of un- labeled samples, but time-consuming or expensive to label them. Active learning for re- gression (ALR) is a methodology to reduce the number of labeled samples, by selecting the most beneficial ones to label, instead of random selection. This paper proposes two new ALR approaches based on greedy sampling (GS). The first approach (GSy) selects new samples to increase the diversity in the output space, and the second (iGS) selects new samples to increase the diversity in both input and output spaces. Extensive experiments on 10 UCI and CMU StatLib datasets from various domains, and on 15 subjects on EEG- based driver drowsiness estimation, verified their effectiveness and robustness.

advanced-deep-learning

This repository includes the assignments which were to be completed as part of the course Advanced Deep Learning at Ravensburg-Weingarten University of Applied Sciences

arrhythmia-detection

Arrhythmia Detection into three classes AFL,AFIB,NSR(Normal Sinus Rythum) using ECG/PPG data based on RR interval Extraction

audioclassification

Audio MNIST Classification using 1D-CNN, 2D-CNN, GAN+2D-CNN, CVN+RandomForest, and LSTMs.

automated-resume-screening-system

Automated Resume Screening System using Machine Learning (With Dataset)

aws-sagemaker-docker-

Now you can train and build custom ML models on AWS Sagemaker using Docker

bengali-digit-recognition-model

bert

TensorFlow code and pre-trained models for BERT

bert-notebooks

Fine tuned pre-trained BERT Model for recognition of Technological and Organizations entities

brainanalysis

My personal approach to deal with EEG and sleep pattern detection, based on datasets provided by Dreem.

budget-optimization

covid19india-cluster

:microscope: COVID19 India Cluster Network

deep-learning

deep_arrhythmias

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow

dsa-questions

ecg-523

Cardiologist-level arrhythmia detection and classification using deep neural networks.

exploring-embeddings

faker

Faker is a Python package that generates fake data for you.

fall-detection-using-accelerometer

fine-tuned-berts-seq

Fine-tuned Transformers compatible BERT models for Sequence Tagging

iboxz-algorithm

interview-coding-problems

Popular programming problems previously asked in Online Campus placement Tests

job-recommendation-engine

Job prediciton based on NLP models.

movie-extensive-dataset

plagarism-checker

predicting-sales-on-a-time-series-data

Used ARIMA Model for Forecasting.

sleep-stage-classification