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Top 11 Python autoencoder Projects
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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.
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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.
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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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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".
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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.
Project mention: A Comprehensive Guide for Building Rag-Based LLM Applications | news.ycombinator.com | 2023-09-13This is a feature in many commercial products already, as well as open source libraries like PyOD. https://github.com/yzhao062/pyod
Project mention: automating-technical-analysis: NEW Data - star count:117.0 | /r/algoprojects | 2023-06-05
Project mention: How to learn Categorial Embeddings in Unsupervised Learning? | /r/deeplearning | 2023-06-25Solutions 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.
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).
Python autoencoder related posts
- [D] How do I make a model which takes a bedroom image as input give an output of different design of bedroom related to input image?
- [R] Moving Fast and Slow: Analysis of Representations and Post-Processing in Speech-Driven Automatic Gesture Generation. Code and demo available
- [R] Moving Fast and Slow: Analysis of Representations and Post-Processing in Speech-Driven Automatic Gesture Generation. Code and dataset available
- [R] Moving Fast and Slow: Analysis of Representations and Post-Processing in Speech-Driven Automatic Gesture Generation. Code available
- Cannot understand how REINFORCE model is trained
- I made a library that lets you create + train a time series autoencoder in just two lines of code
- I made a library that lets you create + train an autoencoder in just two lines of code
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A note from our sponsor - WorkOS
workos.com | 25 Apr 2024
Index
What are some of the best open-source autoencoder projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | pyod | 7,941 |
| 2 | ALAE | 3,494 |
| 3 | Advanced-Deep-Learning-with-Keras | 1,716 |
| 4 | NeuRec | 1,031 |
| 5 | sequitur | 401 |
| 6 | automating-technical-analysis | 216 |
| 7 | tmu | 108 |
| 8 | Speech_driven_gesture_generation_with_autoencoder | 103 |
| 9 | neural-file-sorter | 24 |
| 10 | wysiwyh | 18 |
| 11 | autoembedder | 8 |
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