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Mueller maintains scikit-learn's foundation while teaching others through resources like amueller/scipy-2016-sklearn, bringing practical ML education to thousands of developers.
servers. Model Context Protocol Servers
★ 88ksyne-tune. Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
★ 424PyTabular. Connect to PBI/AAS Models via Python
★ 83floweaver. View flow data as Sankey diagrams
★ 463emukit. A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
★ 661numpy_talk_plots. Plots used in Ralf Gommers Talk at SciPy 2019
★ 8anonymous_github. Anonymous Github is a proxy server to support anonymous browsing of Github repositories for open-science code and data.
★ 2.1kNLP-OSS. Democratizing NLP!
★ 106searchgrid. Helpers for constructing scikit-learn grid search
★ 40dfnotebook. Create and run Python notebooks with clear dependencies in Jupyter
★ 122oneDAL. oneAPI Data Analytics Library (oneDAL)
★ 651altair. Declarative visualization library for Python
★ 10ksklearn-evaluation. Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
★ 467mlxtend. A library of extension and helper modules for Python's data analysis and machine learning libraries.
★ 5.2kodsc_rules. Notes and code for the workshop "Rule-Based Models for Regression and Classification”
★ 13github3.py. Hi, I'm a library for interacting with GItHub's REST API in a convenient and ergonomic way. I work on Python 3.6+.
★ 1.3kscikit-optimize. Sequential model-based optimization with a `scipy.optimize` interface
★ 2.8ksklearn-benchmarks. A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
★ 212refined-github. :octocat: Browser extension that simplifies the GitHub interface and adds useful features
★ 32kosf.io. Facilitating Open Science
★ 729NLP_DL_Lecture_Note. TeX
★ 573flit. Simplified packaging of Python modules
★ 2.2kpython-Levenshtein. The Levenshtein Python C extension module contains functions for fast computation of Levenshtein distance and string similarity
★ 1.3kLasagne. Lightweight library to build and train neural networks in Theano
★ 3.9kkeras. Deep Learning for humans
★ 64kcodecombat. Game for learning how to code.
★ 8.5kskll. SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
★ 561seqlearn. Sequence learning toolkit for Python
★ 706BCFWstruct. Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
★ 26tutorial_ml_gkbionics. A Tutorial on Simple Machine Learning Methods Held for the Graduate School on Bionics, 2012
★ 76detect_insults.
★ 44AD3. Alternating Directions Dual Decomposition
★ 70flask-d3-hello-world. Proof of concept
★ 60pottics. Python
★ 10information-theoretic-mst. Information Theoretic Clustering using Minimum Spanning Trees
★ 20pystruct. Simple structured learning framework for python
★ 668pyqpbo. QPBO interface and alpha expansion for Python
★ 24gco_python. Python wrappers for GCO alpha-expansion and alpha-beta-swaps
★ 138slic-python. SLIC wrapper for Python - legacy, rather use scikit-image now!
★ 23vim-config. VimL
★ 2networkx. Official NetworkX mirror
★ 2joblib. Python function as pipeline jobs.
★ 1ImageNet-parsing-Python. Python class to explore the ImageNet database
★ 16scikit-image. Image Processing SciKit (Toolbox for SciPy)
★ 1gpu_turbopixels. Superpixel computation (using Levinhstein's Turbopixels) on the GPU, achieving 2-3fps on 640x480 images.
★ 2gpu_turbopixels. Superpixel computation (using Levinhstein's Turbopixels) on the GPU, achieving 2-3fps on 640x480 images.
★ 5scikit-image. Image processing in Python
★ 6.5kdamascene-python-and-matlab-bindings. Python and matlab bindings for the Damascene CUDA implementation of gPB
★ 14GPU-Quickshift-Python-Bindings. Python bindings for Brian Fultersons really quick shift
★ 7libdai. Library for discrete approximate inference in graphical models
★ 2scikit-learn. scikit-learn main repo
★ 28shogun. Shōgun
★ 3.1kyep. Profiler for Python extensions
★ 126gensim. Topic Modelling for Humans
★ 16kvlfeat. An open library of computer vision algorithms
★ 15ccv. C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library
★ 7.2knetworkx. Network Analysis in Python
★ 17kscikit-learn. scikit-learn: machine learning in Python
★ 67kjoblib. Computing with Python functions.
★ 4.4kCUV. Matrix library for CUDA in C++ and Python
★ 196mahotas. Computer Vision in Python
★ 888vlfeat. An open library of computer vision algorithms
★ 61vlfeat. An open library of computer vision algorithms
★ 1.7k