autoencoder

Open-source projects categorized as autoencoder
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Language: + Python + Jupyter Notebook
Topics: Deep Learning Machine Learning Python Pytorch neural-network
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Top 18 autoencoder Open-Source Projects

  • pyod

    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

    [CVPR2020] Adversarial Latent Autoencoders

  • InfluxDB

    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.

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  • Advanced-Deep-Learning-with-Keras

    Advanced Deep Learning with Keras, published by Packt

  • NeuRec

    Next RecSys Library

  • deepsvg

    [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

    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

    Library of autoencoders for sequential data

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • automating-technical-analysis

    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

    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

    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

    A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

  • DataDrivenDynSyst

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

  • strv-ml-mask2face

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

  • TensorFlow2.0_Notebooks

    Implementation of a series of Neural Network architectures in TensorFow 2.0

  • neural-file-sorter

    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

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

  • autoembedder

    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

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

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NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2023-12-09.

autoencoder related posts

Index

What are some of the best open-source autoencoder projects? This list will help you:

Project Stars
1 pyod 7,928
2 ALAE 3,492
3 Advanced-Deep-Learning-with-Keras 1,716
4 NeuRec 1,031
5 deepsvg 872
6 diffae 758
7 sequitur 401
8 automating-technical-analysis 214
9 tmu 108
10 Speech_driven_gesture_generation_with_autoencoder 103
11 Network-Intrusion-Detection-Using-Machine-Learning 97
12 DataDrivenDynSyst 61
13 strv-ml-mask2face 52
14 TensorFlow2.0_Notebooks 37
15 neural-file-sorter 24
16 wysiwyh 18
17 autoembedder 8
18 mnistMuddle 3

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