nacheteam

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

netron

Visualizer for neural network, deep learning and machine learning models

textual

The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

flash-attention

Fast and memory-efficient exact attention

pycaret

An open-source, low-code machine learning library in Python

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

pytorch-forecasting

Time series forecasting with PyTorch

anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Deep-Learning-In-Production

Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

HungaBunga

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

Convolutional-KANs

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.

pyDML

Distance Metric Learning Algorithms for Python

S-TSFE-DL

Time Series Feature Extraction using Deep Learning

fah-issues

adtk

A Python toolkit for rule-based/unsupervised anomaly detection in time series

tilitools

[ti]ny [li]ttle machine learning [tool]box - Machine learning, anomaly detection, one-class classification, and structured output prediction

scikit-protopy

Prototype Selection and Generation Toolbox based on scikit-learn

HiCS

Efficient multivariate correlation measure / high contrast subspace miner.

cec17_python

Python wrapper function for the benchmark functions of the CEC 2017 Special Session and Competition on Single Objective Bound Constrained Real-Parameter Numerical Optimization.

FLEXible

Federated Learning (FL) experiment simulation in Python.

S-autoencoder-case-studies

Supplementary software for the paper 'An analysis on the use of autoencoders for representation learning: fundamentals, learning task case studies, explainability and challenges'

ad_examples

TextGeneration

Text completion using the GPT-3 API.

flex-anomalies

Anomaly detection using Federated Learning with FLEX.

mx-psi

OD-TINA

Time-series Industrial Anomaly dataset

S-pwROC

Temporal generalization of ROC curves for weakly labelled anomalies in time-series scenarios.

S-autoencoder-showcase

Supplementary source code for the paper "A Showcase of the Use of Autoencoders for Feature Learning Applications"

seminario-ae

Introducción a autoencoders y aplicación a detección anomalías