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Top 23 Python unsupervised-learning Projects
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习Project mention: [D] Medium Article: Adaptive Learning for Time Series Forecasting | reddit.com/r/MachineLearning | 2022-10-02
The src is available in https://github.com/jindongwang/transferlearning I'll also publish about how to code the model for time series
Anomaly detection related books, papers, videos, and toolboxesProject mention: anomaly-detection-resources: NEW Extended Research - star count:7109.0 | reddit.com/r/algoprojects | 2023-05-20
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)Project mention: Multivariate Outlier Detection in Python | reddit.com/r/datascience | 2023-02-05
Check out the algorithms and documentation in this toolkit. It’ll give you a list of methods to read up on to understand their mechanisms. https://github.com/yzhao062/pyod
OpenMMLab Self-Supervised Learning Toolbox and BenchmarkProject mention: MMDeploy: Deploy All the Algorithms of OpenMMLab | reddit.com/r/u_Allent_pjlab | 2022-11-21
MMSelfSup: OpenMMLab self-supervised learning toolbox and benchmark.
A curated list of community detection research papers with implementations.
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.Project mention: Early anomaly detection / Failure prediction on time series | reddit.com/r/computervision | 2023-02-11
try https://github.com/openvinotoolkit/anomalib it's primarily aimed at vision applications but might provide some inspiration
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)Project mention: Embedding attributed graphs | reddit.com/r/MLQuestions | 2023-02-05
Check out Karate Club (https://github.com/benedekrozemberczki/karateclub) . It has implementations for many attributed node embedding algorithms.
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Algorithms for outlier, adversarial and drift detectionProject mention: Looking for recommendations to monitor / detect data drifts over time | reddit.com/r/datascience | 2023-04-15
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]Project mention: Middle ground dataset between CIFAR and ImageNet [D] | reddit.com/r/MachineLearning | 2022-09-17
The subsets we used are from here: https://github.com/wvangansbeke/Unsupervised-Classification/tree/master/data/imagenet_subsets
Composable GAN framework with api and user interface
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.Project mention: New free tool that uses fine-tuned BERT model to surface answers from research papers | reddit.com/r/LanguageTechnology | 2022-10-28
Tensorflow Ranking and Tensorflow similarity (maybe relevant/irrelevant contrastive learning?) look like they could be useful.
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
Experiments for understanding disentanglement in VAE latent representations
Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorExProject mention: [NLP] Topic Identification & Quantisation | reddit.com/r/LanguageTechnology | 2022-09-03
We ended up settling on a HuggingFace transformer + HDBSCAN pipeline from BERTopic. I like this because it makes it straightforward to tune and test, and you probabilistically assign documents to clusters, so you can do interesting aggregation and sampling after you have your inference done, like selecting text. Other options include top2vec which basically does the same thing without some guiding tools available in BERTopic. Either is suitable for what you’re doing. Older techniques include things like the Latent Dirichlet Allocation and COREX.
Official Implement of "ADBench: Anomaly Detection Benchmark".Project mention: ADBench: Anomaly Detection Benchmark | news.ycombinator.com | 2022-06-30
Official implementation of the paper: MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera (CVPR 2021)
Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"Project mention: Auto tagging Images ( particularly for p0rn ) scene-wise | reddit.com/r/deeplearning | 2022-10-01
Found relevant code at https://github.com/DenisTome/Lifting-from-the-Deep-release + all code implementations here
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.Project mention: TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate TS Data | news.ycombinator.com | 2022-08-23
Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".
Language Models Can See: Plugging Visual Controls in Text Generation (by yxuansu)Project mention: What if TTI was ran backwards? Like showing an image and asking what prompt it would need and conditions (temperature, top_k, etc) to generate that image. This might give us a better glimpse at how it wants to receive prompts. | reddit.com/r/MLQuestions | 2022-07-22
yeah you could force a model to try to fill in a provided prompt template like that. Check this out: https://github.com/yxuansu/MAGIC
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Python unsupervised-learning related posts
Crooks’ Mistaken Bet on Encrypted Phones
1 project | news.ycombinator.com | 17 Apr 2023
ELI5 hardware keylogging
1 project | reddit.com/r/explainlikeimfive | 11 Apr 2023
[D] Distributions to represent an Image Dataset
1 project | reddit.com/r/MachineLearning | 24 Feb 2023
Early anomaly detection / Failure prediction on time series
1 project | reddit.com/r/computervision | 11 Feb 2023
Anomaly detection in images using PatchCore
2 projects | dev.to | 22 Jan 2023
Does anyone know how a loss curve like this can happen? Details in comments
1 project | reddit.com/r/learnmachinelearning | 3 Nov 2022
Middle ground dataset between CIFAR and ImageNet [D]
1 project | reddit.com/r/MachineLearning | 17 Sep 2022
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What are some of the best open-source unsupervised-learning projects in Python? This list will help you: