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all of the workflows of n8n i could find (also from the site itself)

<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

StyleGAN - Official TensorFlow Implementation

Official release of InternLM series (InternLM, InternLM2, InternLM2.5, InternLM3).

A best practice for tensorflow project template architecture.

Use supervised learning to illuminate the latent space of GAN for controlled generation and edit

A machine learning toolkit for log parsing [ICSE'19, DSN'16]

Interpretability and explainability of data and machine learning models

Deep Learning for Time Series Classification

Generate Diverse Counterfactual Explanations for any machine learning model.

Image Completion with Deep Learning in TensorFlow

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

Official Implementation for "TEXTure: Text-Guided Texturing of 3D Shapes"

Matting Anything Model (MAM), an efficient and versatile framework for estimating the alpha matte of any instance in an image with flexible and interactive visual or linguistic user prompt guidance.

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

Applied generative adversarial networks (GANs) to do anomaly detection for time series data

Library to work with Xiaomi MiBand 2

Multivariate LSTM Fully Convolutional Networks for Time Series Classification

Auto encoder for time series

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.

Latent space autoregression for novelty detection.

Source code for Skip-GANomaly paper

Jupyter Notebook for Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

TensorFlow implementation of COCOB

Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives”