zherebetskyy Goto Github PK

amazon-bedrock-workshop

This is a workshop designed for Amazon Bedrock a foundational model service.

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

amazon-sagemaker-forecast-algorithms-benchmark-using-gluonts

This repository contains the sample code to benchmark popular time series forecast algorithms using Gluonts in AWS Sagemaker Notebook Instance.

amazon-sagemaker-mlops-workshop

Machine Learning Ops Workshop with SageMaker: lab guides and materials.

amazon-sagemaker-time-series-prediction-using-gluonts

applied_ml_spring_2017

Website and material for the FIXME course on Practical Machine Learning

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - originally created by Donne Martin and will be expanded in areas of AI/Deep Learning / Machine Vision and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until atleast 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

awesome-deep-learning-papers

The most cited deep learning papers

awesome-energy-forecasting

A curated list of awesome energy forecasting resources such as, code libraries, datasets, courses, tutorials, research papers, competitions and communities.

awesome-machine-learning-python

Machine and Deep Learning in Python

awesome-time-series

list of papers, code, and other resources

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

dat8

General Assembly's Data Science course in Washington, DC

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

deep_text_classification

A Gentle Introduction to Text Classification with Deep Learning

deeplearninginfinance

deeprenewalprocess

GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]

demandforecastinglstm

Electricity Demand Forecasting

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn!

downsampling

eia_cleaned_hourly_electricity_demand_code

Code associated with the EIA demand data anomaly screening and imputation project

electricdemandforecasting-dl

Electricity demand forecasting with temporal convolutional networks

electricity-demand-forecasting--arima-

4th year project

electricitydemandforecasting

Electricity demand forecasting for Austin, TX, using a combination of timeseries methods and regression models

energy_demand

Exploring variations in electricity demand and renewable energy supply over time using Pandas.

fftnet

Pytorch Implementation of FFTNet

forcastingmodels_sarima-with-exogenous-variables