alishakiba

Time-Series-Library

A Library for Advanced Deep Time Series Models.

PySR

High-Performance Symbolic Regression in Python and Julia

outlierdetection

GML2023

Graph Machine Learning course, Xavier Bresson, 2023

supervision

We write your reusable computer vision tools. 💜

drawdata

Draw datasets from within Jupyter.

Fault-Detection-Dataset-in-Photovoltaic-Farms

Fault Detection Algorithms for Achieving Service Continuity in Photovoltaic Farms

pbdl-book

Welcome to the Physics-based Deep Learning Book (v0.2)

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

deeptime

Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation

pysindy

A package for the sparse identification of nonlinear dynamical systems from data

databook_python

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz

ffjord

code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

modulus

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

hezar

The all-in-one AI library for Persian, supporting a wide variety of tasks and modalities!

edmbox

Matlab routines for Euclidean distance matrices

tslearn

The machine learning toolkit for time series analysis in Python

pyflux

Open source time series library for Python

tsfresh

Automatic extraction of relevant features from time series:

bigdataengineering

Educational material for big data engineering courses

Time-Series-Works-Conferences

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

pyData-2021-Solar-PV-Modeling

Data and tools to model PV Systems

TimeSeriesForecastingInPython

TransformerEngine

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.

awesome-python-resources

Awesome Python Resources

Integrated-Gradients

Attributing predictions made by the Inception network using the Integrated Gradients method

tikzedt

TikzEdt is a combined WYSIWYG/text editor designed for editing Tikz code.

NN-SVG

Publication-ready NN-architecture schematics.