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Top 23 Python Classification Projects
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labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Image, 3D, or data visualization applications using OpenCV and the SciPy ecosystem. The Graphics View Framework can display an image and let the user interact with it, and the Python ecosystem is very rich for image processing, data analysis, and visualization. For example, LabelMe for image labeling, PyQtGraph for scientific graphics, or custom QWidget integration in Maya.
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cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Project mention: [P] We are building a curated list of open source tooling for data-centric AI workflows, looking for contributions. | reddit.com/r/MachineLearning | 2023-03-03Currently, you have to do a bit of hacking: https://github.com/cleanlab/cleanlab/issues/586
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InfluxDB
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.
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Project mention: How do I balance a pointcloud dataset without compromising it? | reddit.com/r/learnmachinelearning | 2022-10-25
I am using pointnet, A neural network which directly processes point clouds and labels them on a per-point basis.
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Project mention: Book or web book recommendation request: a data visualization cookbook using Python for scientists. | reddit.com/r/Python | 2023-02-22
Have you tried Orange? https://orangedatamining.com/ This is not a direct answer to your question but Orange has Python based stuff for data mining and visualization. It is very intuitive as for being a graphical interface.
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Project mention: Why does trained model fail on new data? | reddit.com/r/learnmachinelearning | 2022-08-26
Is this how you trained the segmentation? https://github.com/charlesq34/pointnet2
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Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
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Project mention: Why did the original ResNet paper not use dropout? | reddit.com/r/datascience | 2023-01-29
not true at all, plenty of sota models combines batchnorm and dropout 1. efficientnet 2. resnet rs 3. timm resnet50 (appendix)
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lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Project mention: [D] Looking for github package testing many decision tree models - it exists but I can't find it in my browser history | reddit.com/r/MachineLearning | 2023-01-10 -
lightning-flash
Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
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Project mention: Researchers from the Alibaba Group added their newly developed ‘YOLOX-PAI’ into EasyCV, which is an all-in-one Computer Vision Toolbox | reddit.com/r/computervision | 2022-08-31
Continue reading | Check out the paper and github link.
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Project mention: awesome-fraud-detection-papers: NEW Extended Research - star count:1277.0 | reddit.com/r/algoprojects | 2023-02-12
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Project mention: CVNets - A library for training computer vision networks | reddit.com/r/github_trends | 2022-04-18
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PaddleViT
:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
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Project mention: MMDeploy: Deploy All the Algorithms of OpenMMLab | reddit.com/r/u_Allent_pjlab | 2022-11-21
MMRazor: OpenMMLab model compression toolbox and benchmark.
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AlphaPy
Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
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Project mention: Is there a tool that could detect what language a snippet of code is written in? | reddit.com/r/AskProgramming | 2022-08-09
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Project mention: Ask HN: Data Scientists, what libraries do you use for timeseries forecasting? | news.ycombinator.com | 2022-11-03
For feature extraction check out tsfel:
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Python Classification related posts
- Fine-tuning Llama
- Why did the original ResNet paper not use dropout?
- Monte Carlo Simulator feature request.
- Github - I made Awesome Computer Vision. Current content created includes Classification, Segmentation, Detection, Fine grained Recognition, Self-superviseld Learning, Meta Learning. Unlike the existing Awesome, Kaggle and colab running code were added. Thanks for attention
- [D] Looking for github package testing many decision tree models - it exists but I can't find it in my browser history
- AlphaPy: machine learning framework built on sklearn and pandas. Support pyfolio/xgboost/lightgmb/catboost(gradient boosting on decision tress) etc. Examples include financial market prediction/sports prediction/kaggle. Configurations are set though
- AlphaPy
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www.saashub.com | 1 Apr 2023
Index
What are some of the best open-source Classification projects in Python? This list will help you:
Project | Stars | |
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1 | labelme | 9,981 |
2 | cleanlab | 5,634 |
3 | pointnet | 4,111 |
4 | orange | 4,011 |
5 | torch2trt | 3,847 |
6 | pointnet2 | 2,599 |
7 | Pointnet_Pointnet2_pytorch | 2,227 |
8 | InvoiceNet | 2,110 |
9 | efficientnet | 2,002 |
10 | lazypredict | 1,936 |
11 | lightning-flash | 1,657 |
12 | eda_nlp | 1,412 |
13 | EasyCV | 1,404 |
14 | MLBox | 1,403 |
15 | pycm | 1,361 |
16 | awesome-fraud-detection-papers | 1,311 |
17 | ml-cvnets | 1,239 |
18 | PaddleViT | 1,081 |
19 | mmrazor | 996 |
20 | AlphaPy | 887 |
21 | ttach | 817 |
22 | guesslang | 647 |
23 | tsfel | 632 |