Top 18 autoencoder Open-Source Projects

• pyod

  7 7,962 7.5 Python

  A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

Project mention: A Comprehensive Guide for Building Rag-Based LLM Applications | news.ycombinator.com | 2023-09-13

This is a feature in many commercial products already, as well as open source libraries like PyOD. https://github.com/yzhao062/pyod

• ALAE

  1 3,494 0.0 Python

  [CVPR2020] Adversarial Latent Autoencoders

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• Advanced-Deep-Learning-with-Keras

  1 1,716 0.0 Python

  Advanced Deep Learning with Keras, published by Packt

  

• NeuRec

  2 1,031 0.0 Python

  Next RecSys Library

• deepsvg

  2 878 4.0 Jupyter Notebook

  [NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

Project mention: [D] MNIST-like dataset in SVG format | /r/MachineLearning | 2023-07-09

I'd like to start experimenting with image classification in SVG format. I've found the deepsvg library that seems to have a solid basis on how to handle SVG files. Unfortunately it doesn't seem there's a large body of resesarch in the area and I am struggling to find a MNIST-like datset in SVG format.

• diffae

  1 766 3.9 Jupyter Notebook

  Official implementation of Diffusion Autoencoders

Project mention: DiffAE: How to use AI to make your friends look bald, happy, young, blond, old - you name it! | dev.to | 2023-09-17

DiffAE GitHub Repo: The official GitHub repository for DiffAE. Great if you're looking to fork the project or contribute.

• sequitur

  3 402 4.5 Python

  Library of autoencoders for sequential data

• SaaSHub

  www.saashub.com featured

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• automating-technical-analysis

  2 216 5.5 Python

  Using data analytics of popular trading strategies and indicators, to identify best trading actions based solely on the price action.

Project mention: automating-technical-analysis: NEW Data - star count:117.0 | /r/algoprojects | 2023-06-05

• tmu

  5 109 9.2 Python

  Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating.

  

Project mention: Tsetlin machine – the other AI toolbooks | news.ycombinator.com | 2023-12-09

• Speech_driven_gesture_generation_with_autoencoder

  4 103 0.0 Python

  This is the official implementation for IVA '19 paper "Analyzing Input and Output Representations for Speech-Driven Gesture Generation".

  

• Network-Intrusion-Detection-Using-Machine-Learning

  1 97 1.8 Jupyter Notebook

  A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

• DataDrivenDynSyst

  1 62 5.3 Jupyter Notebook

  Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems

• strv-ml-mask2face

  1 52 0.0 Jupyter Notebook

  Virtually remove a face mask to see what a person looks like underneath

  

• TensorFlow2.0_Notebooks

  1 37 0.0 Jupyter Notebook

  Implementation of a series of Neural Network architectures in TensorFow 2.0

• neural-file-sorter

  1 24 1.7 Python

  A neural network based file sorter. Trains an autoencoder to sort images or audio based on the similarity of their encodings, or uses the OpenAI CLIP model.

• wysiwyh

  2 18 3.2 Python

  A neural net to transform a video into audio in real time.

• autoembedder

  1 8 0.0 Python

  PyTorch autoencoder with additional embeddings layer for categorical data 🚘

Project mention: How to learn Categorial Embeddings in Unsupervised Learning? | /r/deeplearning | 2023-06-25

Solutions I found here and here propose to save the Input Batch as a in a variable after feeding it into the Embeddings Layer (but before the AE) and use that as the target for the loss function.

• mnistMuddle

  2 3 0.0 Jupyter Notebook

  Generating poorly written digits to prove humans' handwriting is still good!

• SaaSHub

  www.saashub.com featured

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