skift
FastText wrapper
A Python package providing scikit-learn-compatible wrappers for the fastText natural language processing library.
scikit-learn wrappers for Python fastText.
233 stars
10 watching
24 forks
Language: Jupyter Notebook
last commit: over 3 years ago
Linked from 1 awesome list
krzjoa/awesome-python-data-scienceRelated projects:
| Repository | Description | Stars |
|---|---|---|
 cryptocoinswift/sha256-swift | Provides Swift wrappers for CommonCrypto's SHA256 methods. | 72 |
 saeid/bittrexapikit | A Swift client for interacting with the Bittrex API | 8 |
 jorenham/scipy-stubs | Provides type hints and auto-completion support for SciPy libraries without requiring additional configuration or static type-checker plugins. | 23 |
 xiongchiamiov/pyfixit | A Python wrapper around the iFixit API | 16 |
 scikit-learn-contrib/skope-rules | A Python machine learning module that generates logical rules to predict class labels with high precision | 624 |
 jakevdp/sklearn_pycon2015 | Materials and code for a PyCon 2015 tutorial on machine learning with scikit-learn | 896 |
 jindulys/githubpilot | A GitHub API V3 wrapper for Swift that simplifies interaction with the platform's data. | 55 |
 teamhg-memex/sklearn-crfsuite | A Python wrapper around CRFsuite, providing an interface similar to scikit-learn. | 425 |
 scikit-hep/scikit-hep | A collection of Python packages for Particle Physics data analysis and high-energy physics | 163 |
 burczyk/xcodeswiftsnippets | A collection of reusable code snippets for Swift development | 1,755 |
 sciter-sdk/sciter-dport | A library providing a D language interface to the Sciter HTML engine | 34 |
 cockscomb/utikit | A Swift library providing access to Uniform Type Identifier functionality | 253 |
 jsmidt/quantpy | A framework for building quantitative finance applications in Python. | 709 |
 seebi/rdf.sh | A command-line tool for performing tasks related to the Semantic Web and RDF data. | 121 |
 scoder/lupa | A wrapper around Lua or LuaJIT that enables fast and efficient integration of dynamic languages into Python applications. | 1,027 |