dal3006's repositories
awesome-AI-for-time-series-papers
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
sysidentpy
A Python Package For System Identification Using NARMAX Models
AnomalyDetector
Samples for the Anomaly Detection API documentation:
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
awesome-colab-notebooks
Collection of google colaboratory notebooks for fast and easy experiments
codecarbon
Track emissions from Compute and recommend ways to reduce their impact on the environment.
correlation
:link: Methods for Correlation Analysis
datasets
A collection of datasets of ML problem solving
deep-occupancy-detection
This repository contains the source code for the feature selection algorithm and deep learning models (DNN, GRU, bi-GRU, LSTM, bi-LSTM) implemented for occupancy prediction across multiple space types based on a minimum sensing approach.
Detection-of-Changepoints-in-Time-Series
Implementing a Decision Tree Regression approach for the detection of change-points in a Time Series
Eco2AI
Eco2AI is a python library which accumulates statistics about power consumption and CO2 emission during running code.
Energy-Anomalies-Detection
The primary purpose is to discover Large-Scale Energy Anomalies using Time Series Analysis, Machine Learning, and Deep Learning.
Execute-Python-Code-From-MATLAB
These code files explain how to execute Python code directly from MATLAB
fastai
The fastai deep learning library
Fastai-1
I will implement Fastai in each projects present in this repository.
GPT-4-coding-assistant
GPT-4 Coding Assistant is a web application that leverages the power of OpenAI's GPT-4 to help developers with their coding tasks.
gpt-4-for-code
Some examples of GPT-4 for code!
magpy
MagPy (or GeomagPy) is a Python package for analysing and displaying geomagnetic data.
MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Multivariate-Deep-learning-based_LSTM-GRU-BILSTM
Multivariate Deep learning-based prediction of renewable energy output _Frame using LSTM ,BILSTM, GRU
pyBibX
A Bibliometric and Scientometric Python Library Powered with Artificial Intelligence Tools
pygod
A Python Library for Graph Outlier Detection (Anomaly Detection)
pyInfinityFlow
Python package to generate high dimensional Flow Cytometry datasets using imputation by XGBoost regression
python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
slisemap
SLISEMAP: Combining supervised dimensionality reduction with local explanations
tsai
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
tsaoptimized
optimisation library for time series analysis using LSTM models
XAI-Tutorials
Self-explanatory tutorials for different model-agnostic and model-specific XAI methods