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Top 23 Python Clustering Projects
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dedupe
:id: A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.
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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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awesome-community-detection
A curated list of community detection research papers with implementations.
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uis-rnn
This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
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Unsupervised-Classification
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
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similarity
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
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PyPOTS
A Python toolbox/library for reality-centric machine/deep learning and data mining on partially-observed time series with PyTorch, including SOTA neural network models for science analysis tasks of imputation, classification, clustering, forecasting & anomaly detection on incomplete (irregularly-sampled) multivariate TS with NaN missing values
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Unsupervised-Semantic-Segmentation
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
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matrixprofile
A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
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stringlifier
Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.
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n2d
A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding.
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Revisiting-Contrastive-SSL
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
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hironex
HiRoNEx: Historical road network extractor: A python tool for automatic, fully unsupervised extraction of historical road networks from historical maps.
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I know I've tooted its horn before, but Orange3 is a pretty neat Python-based GUI platform that makes this and a metric buttload of other statistical/ML techniques available to non-programmer types.
Just watch out for null character `x00` in the corpus. That always seems to kill it stone dead.
https://orangedatamining.com/
https://orange3.readthedocs.io/projects/orange-visual-progra...
RAG is very difficult to do right. I am experimenting with various RAG projects from [1]. The main problems are:
- Chunking can interfer with context boundaries
- Content vectors can differ vastly from question vectors, for this you have to use hypothetical embeddings (they generate artificial questions and store them)
- Instead of saving just one embedding per text-chuck you should store various (text chunk, hypothetical embedding questions, meta data)
- RAG will miserably fail with requests like "summarize the whole document"
- to my knowledge, openAI embeddings aren't performing well, use a embedding that is optimized for question answering or information retrieval and supports multi language. Also look into instructor embeddings: https://github.com/embeddings-benchmark/mteb
1 https://github.com/underlines/awesome-marketing-datascience/...
Project mention: Missing values in time series collected from the real world are common to see and very pesky. A new state-of-the-art and fast neural network called SAITS is proposed to impute missing data in partially-observed multivariate time series. The code is open source on GitHub. | /r/datascience | 2023-06-28Oh, wow, thanks for sharing it here! PyPOTS still has a long way to go, and I'm making it better. If you have any suggestions for PyPOTS, please let me know. Your feedback is always welcome and means a lot to the community of PyPOTS! If you like PyPOTS, please star 🌟 PyPOTS repo on GitHub and share it with people you know who may need it to help others notice this helpful work. Thank you very much!
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).
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A note from our sponsor - SaaSHub
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Index
What are some of the best open-source Clustering projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | orange | 4,619 |
| 2 | dedupe | 3,984 |
| 3 | awesome-community-detection | 2,270 |
| 4 | uis-rnn | 1,533 |
| 5 | mteb | 1,421 |
| 6 | minisom | 1,388 |
| 7 | Unsupervised-Classification | 1,309 |
| 8 | similarity | 997 |
| 9 | PyPOTS | 683 |
| 10 | Unsupervised-Semantic-Segmentation | 386 |
| 11 | matrixprofile | 356 |
| 12 | slot-attention | 350 |
| 13 | TEXTOIR | 180 |
| 14 | fuzzy-c-means | 162 |
| 15 | stringlifier | 157 |
| 16 | DBCV | 140 |
| 17 | n2d | 122 |
| 18 | text-summarizer | 113 |
| 19 | hazelcast-python-client | 112 |
| 20 | relevanceai | 101 |
| 21 | Revisiting-Contrastive-SSL | 86 |
| 22 | impfuzzy | 82 |
| 23 | hironex | 70 |
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