i-mein

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos

Deep-Learning

MEDIUM_NoteBook

Repository containing notebooks of my posts on Medium

dl-4-tsc

Deep Learning for Time Series Classification

ppscore

Predictive Power Score (PPS) in Python

Predictive-Maintenance-using-LSTM

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

deltapy

DeltaPy - Tabular Data Augmentation (by @firmai)

YALMIP

MATLAB toolbox for optimization modeling

TimeSynth

A Multipurpose Library for Synthetic Time Series Generation in Python

lstms_for_predictive_maintenance

LSTMS for Predictive Maintenance

Keras-RetinaNet-for-Open-Images-Challenge-2018

Code for 15th place in Kaggle Google AI Open Images - Object Detection Track

predictive-maintenance

Data Wrangling, EDA, Feature Engineering, Model Selection, Regression, Binary and Multi-class Classification (Python, scikit-learn)

keras-seq-2-seq-signal-prediction

An implementation of a sequence to sequence neural network using an encoder-decoder

urbs

A linear optimisation model for distributed energy systems

keras-adamw

Keras/TF implementation of AdamW, SGDW, NadamW, Warm Restarts, and Learning Rate multipliers

TensorDash

TensorDash is an application that lets you remotely monitor your deep learning model's metrics and notifies you when your model training is completed or crashed.

AdaMod

Adaptive and Momental Bounds for Adaptive Learning Rate Methods.

Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy

Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy

metal-defect-detection

Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning

ML-Time-Series

Some Machine Learning techniques for Time Series classification.

Aerial-Segmentation

Scripts to process aerial imagery

Short-term-load-forecasting-using-ensemble-modelling-and-optimization-for-demand-response

forecasting and optimization - Coded in Python

short-term-electrical-load-forecast

Short-term load forecasting

EnergySystemOptimization

A collection of (MILP) models and tools for Energy System Optimization

Stacking

Multiple Model Ensembling

Ensemble

Implementation voting/stacking classification models against the Lending Club data set.

AV-Datahack_LTFS_2019

state-wise-electricity-demand-prediction

Utilize machine learning and time series analysis to make state-wise electricity demand prediction based on weather forecast

kaggle-San-Francisco-Crime-Classification

top 2% (45/2333), based on CatBoostClassifier