yassinebouabdallaoui Goto Github PK

ai_curriculum

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

alibi

Algorithms for explaining machine learning models

building-prediction-benchmarking

An array of open source ML models applied to long-term hourly energy prediction for institutional buildings

data-science--cheat-sheet

Cheat Sheets

deep-forecast

The code of the paper 'Deep Forecast : Deep Learning-based Spatio-Temporal Forecasting", ICML Time Series Workshop 2017.

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

dlaicourse

Notebooks for learning deep learning

formation

hse-nlp-coursera

Solution for https://www.coursera.org/learn/language-processing

lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

log-synth

Generates more or less realistic log data for testing simple aggregation queries.

lstms_for_predictive_maintenance

LSTMS for Predictive Maintenance

optimization

pihome

PiHome - Smart Heating, Ventilation and Air Conditioning (HVAC)

practicalai

A practical approach to learning machine learning.

predictive-maintenance

Demonstration of MapR for Industrial IoT

rl-testbed-for-energyplus

Reinforcement Learning Testbed for Power Consumption Optimization using EnergyPlus

sfa

Scalable Time Series Data Analytics

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

tensorflow