-
Notifications
You must be signed in to change notification settings - Fork 3
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Latest data: Mon Dec 9 05:11:50 UTC 2024
- Loading branch information
Automated
committed
Dec 9, 2024
1 parent
befd8c3
commit 4b54788
Showing
2 changed files
with
73 additions
and
36 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,37 @@ | ||
{"full_name":"scikit-learn/scikit-learn","description":"scikit-learn: machine learning in Python","forks":25450,"open_issues":2089,"stargazers_count":60382,"created_at":"2010-08-17T09:43:38Z","pushed_at":"2024-12-08T13:42:35Z","repo":"scikit-learn/scikit-learn","pip":"scikit-learn","n_contributors":30,"total_downloads":2212457105,"month_downloads":80048836} | ||
{"full_name":"scikit-learn-contrib/imbalanced-learn","description":" A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning","forks":1287,"open_issues":49,"stargazers_count":6865,"created_at":"2014-08-16T05:08:26Z","pushed_at":"2024-11-25T18:58:15Z","repo":"scikit-learn-contrib/imbalanced-learn","pip":"imbalanced-learn","n_contributors":30,"total_downloads":262663925,"month_downloads":16088367} | ||
{"full_name":"skops-dev/skops","description":"skops is a Python library helping you share your scikit-learn based models and put them in production","forks":53,"open_issues":34,"stargazers_count":457,"created_at":"2022-05-04T13:30:17Z","pushed_at":"2024-12-06T13:07:39Z","repo":"skops-dev/skops","pip":"skops","n_contributors":18,"total_downloads":693005,"month_downloads":92441} | ||
{"full_name":"koaning/scikit-lego","description":"Extra blocks for scikit-learn pipelines.","forks":118,"open_issues":42,"stargazers_count":1288,"created_at":"2019-01-21T15:30:15Z","pushed_at":"2024-12-08T20:34:09Z","repo":"koaning/scikit-lego","pip":"scikit-lego","n_contributors":30,"total_downloads":1157463,"month_downloads":26396} | ||
{"full_name":"koaning/scikit-partial","description":"Pipeline components that support partial_fit.","forks":1,"open_issues":0,"stargazers_count":43,"created_at":"2022-05-16T19:07:12Z","pushed_at":"2024-07-15T09:54:20Z","repo":"koaning/scikit-partial","pip":"scikit-partial","n_contributors":1,"total_downloads":2452,"month_downloads":197} | ||
{"full_name":"koaning/embetter","description":"just a bunch of useful embeddings","forks":15,"open_issues":17,"stargazers_count":469,"created_at":"2021-10-31T16:05:10Z","pushed_at":"2024-09-12T11:51:19Z","repo":"koaning/embetter","pip":"embetter","n_contributors":9,"total_downloads":57001,"month_downloads":2525} | ||
{"full_name":"koaning/human-learn","description":"Natural Intelligence is still a pretty good idea.","forks":54,"open_issues":6,"stargazers_count":800,"created_at":"2020-07-11T11:03:11Z","pushed_at":"2024-07-15T09:55:16Z","repo":"koaning/human-learn","pip":"human-learn","n_contributors":6,"total_downloads":69234,"month_downloads":2803} | ||
{"full_name":"koaning/doubtlab","description":"Doubt your data, find bad labels. ","forks":17,"open_issues":1,"stargazers_count":505,"created_at":"2021-11-05T17:57:54Z","pushed_at":"2024-07-15T09:53:24Z","repo":"koaning/doubtlab","pip":"doubtlab","n_contributors":6,"total_downloads":29457,"month_downloads":902} | ||
{"full_name":"fairlearn/fairlearn","description":"A Python package to assess and improve fairness of machine learning models.","forks":423,"open_issues":156,"stargazers_count":1967,"created_at":"2018-05-15T01:51:35Z","pushed_at":"2024-12-08T12:48:46Z","repo":"fairlearn/fairlearn","pip":"fairlearn","n_contributors":30,"total_downloads":6735190,"month_downloads":195620} | ||
{"full_name":"skrub-data/skrub","description":"Prepping tables for machine learning","forks":104,"open_issues":74,"stargazers_count":1242,"created_at":"2018-03-12T23:32:22Z","pushed_at":"2024-12-07T17:47:14Z","repo":"skrub-data/skrub","pip":"skrub","n_contributors":30,"total_downloads":25349,"month_downloads":6010} | ||
{"full_name":"DistrictDataLabs/yellowbrick","description":"Visual analysis and diagnostic tools to facilitate machine learning model selection.","forks":558,"open_issues":99,"stargazers_count":4302,"created_at":"2016-05-18T14:12:17Z","pushed_at":"2024-09-27T16:58:57Z","repo":"DistrictDataLabs/yellowbrick","pip":"yellowbrick","n_contributors":30,"total_downloads":23397715,"month_downloads":690184} | ||
{"full_name":"ploomber/sklearn-evaluation","description":"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.","forks":54,"open_issues":5,"stargazers_count":460,"created_at":"2015-09-04T16:33:42Z","pushed_at":"2024-09-18T16:57:14Z","repo":"ploomber/sklearn-evaluation","pip":"sklearn-evaluation","n_contributors":17,"total_downloads":659506,"month_downloads":5461} | ||
{"full_name":"parrt/dtreeviz","description":"A python library for decision tree visualization and model interpretation.","forks":337,"open_issues":72,"stargazers_count":2979,"created_at":"2018-08-13T21:45:15Z","pushed_at":"2024-08-29T16:58:41Z","repo":"parrt/dtreeviz","pip":"dtreeviz","n_contributors":23,"total_downloads":5282252,"month_downloads":116102} | ||
{"full_name":"onnx/sklearn-onnx","description":"Convert scikit-learn models and pipelines to ONNX","forks":104,"open_issues":97,"stargazers_count":558,"created_at":"2018-12-18T20:18:48Z","pushed_at":"2024-11-14T18:52:29Z","repo":"onnx/sklearn-onnx","pip":"skl2onnx","n_contributors":30,"total_downloads":31676069,"month_downloads":1113214} | ||
{"full_name":"unit8co/darts","description":"A python library for user-friendly forecasting and anomaly detection on time series.","forks":887,"open_issues":243,"stargazers_count":8147,"created_at":"2018-09-13T15:17:28Z","pushed_at":"2024-12-08T18:54:57Z","repo":"unit8co/darts","pip":"darts","n_contributors":30,"total_downloads":4178373,"month_downloads":132609} | ||
{"full_name":"sktime/sktime","description":"A unified framework for machine learning with time series","forks":1391,"open_issues":1249,"stargazers_count":8011,"created_at":"2018-11-06T15:08:24Z","pushed_at":"2024-12-09T01:34:17Z","repo":"sktime/sktime","pip":"sktime","n_contributors":30,"total_downloads":22464582,"month_downloads":918670} | ||
{"full_name":"aeon-toolkit/aeon","description":"A toolkit for machine learning from time series","forks":132,"open_issues":157,"stargazers_count":1036,"created_at":"2022-12-20T12:44:09Z","pushed_at":"2024-12-09T01:29:00Z","repo":"aeon-toolkit/aeon","pip":"aeon","n_contributors":30,"total_downloads":216487,"month_downloads":17163} | ||
null | ||
{"full_name":"tslearn-team/tslearn","description":"The machine learning toolkit for time series analysis in Python","forks":342,"open_issues":139,"stargazers_count":2921,"created_at":"2017-05-04T13:08:13Z","pushed_at":"2024-07-01T09:07:36Z","repo":"tslearn-team/tslearn","pip":"tslearn","n_contributors":30,"total_downloads":10859807,"month_downloads":392998} | ||
{"full_name":"skorch-dev/skorch","description":"A scikit-learn compatible neural network library that wraps PyTorch","forks":391,"open_issues":62,"stargazers_count":5902,"created_at":"2017-07-18T00:13:54Z","pushed_at":"2024-11-05T16:17:39Z","repo":"skorch-dev/skorch","pip":"skorch","n_contributors":30,"total_downloads":3100850,"month_downloads":148359} | ||
{"full_name":"adriangb/scikeras","description":"Scikit-Learn API wrapper for Keras.","forks":50,"open_issues":47,"stargazers_count":242,"created_at":"2020-04-10T21:40:36Z","pushed_at":"2024-11-25T15:45:39Z","repo":"adriangb/scikeras","pip":"scikeras","n_contributors":11,"total_downloads":8093555,"month_downloads":515867} | ||
{"full_name":"scikit-learn-contrib/category_encoders","description":"A library of sklearn compatible categorical variable encoders","forks":397,"open_issues":47,"stargazers_count":2414,"created_at":"2015-11-29T19:32:37Z","pushed_at":"2024-10-01T21:23:20Z","repo":"scikit-learn-contrib/category_encoders","pip":"category_encoders","n_contributors":30,"total_downloads":58343490,"month_downloads":1481389} | ||
{"full_name":"scikit-multilearn/scikit-multilearn","description":"A scikit-learn based module for multi-label et. al. classification","forks":180,"open_issues":90,"stargazers_count":921,"created_at":"2014-04-30T13:05:44Z","pushed_at":"2024-02-01T04:40:03Z","repo":"scikit-multilearn/scikit-multilearn","pip":"scikit-multilearn","n_contributors":22,"total_downloads":4105613,"month_downloads":68408} | ||
{"full_name":"x-tabdeveloping/topicwizard","description":"Powerful topic model visualization in Python","forks":13,"open_issues":4,"stargazers_count":105,"created_at":"2022-09-18T11:33:15Z","pushed_at":"2024-12-05T10:06:33Z","repo":"x-tabdeveloping/topicwizard","pip":"topic-wizard","n_contributors":4,"total_downloads":34195,"month_downloads":2210} | ||
{"full_name":"x-tabdeveloping/turftopic","description":"Robust and fast topic models with sentence-transformers.","forks":5,"open_issues":4,"stargazers_count":38,"created_at":"2023-11-28T09:09:47Z","pushed_at":"2024-11-28T12:08:28Z","repo":"x-tabdeveloping/turftopic","pip":"turftopic","n_contributors":5,"total_downloads":25710,"month_downloads":3157} | ||
{"full_name":"centre-for-humanities-computing/tweetopic","description":"Blazing fast topic modelling for short texts.","forks":3,"open_issues":8,"stargazers_count":31,"created_at":"2022-08-30T08:47:33Z","pushed_at":"2024-10-07T18:33:32Z","repo":"centre-for-humanities-computing/tweetopic","pip":"tweetopic","n_contributors":3,"total_downloads":14421,"month_downloads":460} | ||
{"full_name":"centre-for-humanities-computing/stormtrooper","description":"Zero/few shot learning components for scikit-learn pipelines with LLMs and transformers.","forks":2,"open_issues":1,"stargazers_count":13,"created_at":"2023-08-09T06:39:40Z","pushed_at":"2024-11-21T14:10:14Z","repo":"centre-for-humanities-computing/stormtrooper","pip":"stormtrooper","n_contributors":1,"total_downloads":13456,"month_downloads":1393} | ||
{"full_name":"scikit-learn-contrib/MAPIE","description":"A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.","forks":112,"open_issues":41,"stargazers_count":1308,"created_at":"2021-03-30T08:47:08Z","pushed_at":"2024-12-07T11:53:25Z","repo":"scikit-learn-contrib/MAPIE","pip":"mapie","n_contributors":30,"total_downloads":1780542,"month_downloads":112559} | ||
{"full_name":"henrikbostrom/crepes","description":"Python package for conformal prediction","forks":35,"open_issues":2,"stargazers_count":463,"created_at":"2021-11-17T09:59:15Z","pushed_at":"2024-09-21T15:34:34Z","repo":"henrikbostrom/crepes","pip":"crepes","n_contributors":1,"total_downloads":46818,"month_downloads":3765} | ||
{"full_name":"dmlc/xgboost","description":"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow","forks":8738,"open_issues":455,"stargazers_count":26382,"created_at":"2014-02-06T17:28:03Z","pushed_at":"2024-12-08T14:50:07Z","repo":"dmlc/xgboost","pip":"xgboost","n_contributors":30,"total_downloads":593614744,"month_downloads":25819677} | ||
{"full_name":"microsoft/LightGBM","description":"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.","forks":3837,"open_issues":383,"stargazers_count":16761,"created_at":"2016-08-05T05:45:50Z","pushed_at":"2024-12-09T04:42:43Z","repo":"microsoft/LightGBM","pip":"lightgbm","n_contributors":30,"total_downloads":386654833,"month_downloads":11031438} | ||
{"full_name":"emlearn/emlearn","description":"Machine Learning inference engine for Microcontrollers and Embedded devices","forks":54,"open_issues":14,"stargazers_count":525,"created_at":"2018-03-16T19:46:17Z","pushed_at":"2024-12-08T12:58:10Z","repo":"emlearn/emlearn","pip":"emlearn","n_contributors":7,"total_downloads":106450,"month_downloads":1498} | ||
{"full_name":"lmcinnes/umap","description":"Uniform Manifold Approximation and Projection","forks":810,"open_issues":484,"stargazers_count":7506,"created_at":"2017-07-02T01:11:17Z","pushed_at":"2024-11-29T15:34:40Z","repo":"lmcinnes/umap","pip":"umap-learn","n_contributors":30,"total_downloads":46041507,"month_downloads":2200291} | ||
{"full_name":"narwhals-dev/narwhals","description":"Lightweight and extensible compatibility layer between dataframe libraries!","forks":115,"open_issues":76,"stargazers_count":655,"created_at":"2024-02-19T17:51:14Z","pushed_at":"2024-12-08T22:21:57Z","repo":"narwhals-dev/narwhals","pip":"narwhals","n_contributors":30,"total_downloads":44083858,"month_downloads":12831661} | ||
{"full_name":"pandas-dev/pandas","description":"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more","forks":18060,"open_issues":3663,"stargazers_count":43990,"created_at":"2010-08-24T01:37:33Z","pushed_at":"2024-12-08T14:04:32Z","repo":"pandas-dev/pandas","pip":"pandas","n_contributors":30,"total_downloads":6533393943,"month_downloads":275522621} | ||
{"full_name":"pola-rs/polars","description":"Dataframes powered by a multithreaded, vectorized query engine, written in Rust","forks":2004,"open_issues":2252,"stargazers_count":30796,"created_at":"2020-05-13T19:45:33Z","pushed_at":"2024-12-08T14:15:57Z","repo":"pola-rs/polars","pip":"polars","n_contributors":30,"total_downloads":100789267,"month_downloads":10739301} | ||
{"full_name":"probabl-ai/skore","description":"Skore lets you \"Own Your Data Science.\" It provides a user-friendly interface to track and visualize your modeling results, and perform evaluation of your machine learning models with scikit-learn.","forks":7,"open_issues":53,"stargazers_count":93,"created_at":"2024-06-17T15:29:38Z","pushed_at":"2024-12-08T13:41:09Z","repo":"probabl-ai/skore","pip":"skore","n_contributors":11,"total_downloads":5249,"month_downloads":1743} |
Oops, something went wrong.