giacbrd/ShallowLearn
An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
PythonLGPL-3.0
Stargazers
- achaiah
- AdrianLskAmsterdam
- AdrienMorvan
- arnaudsj@steppingblocks
- astraluser
- buriyNovosibirsk, Russia
- chipsandteaChips and Tea
- clederOomnitza
- cristinadeceISTI CNR
- dineshdharme
- DjarnisCopenhagen, DK
- gidim@comet-ml
- GitOffice
- gurusuraSura Systems Private Limited
- harveyaot@Microsoft
- ianclarkdatasciWashington DC
- j-minUNC Chapel Hill
- jeradfmedium
- jrings
- kafkuTokyo, Japan
- mananshah99@kumo-ai
- matteotosiVarese - Italy
- mrbungieBci
- pantchox
- pembeci@statsbomb
- rishabh135Japan
- riverstoreViet Nam
- rmdort@self
- SantoshSrinivas79
- shahsarick
- soumendrakPepsiCo
- t-davidsonRutgers University
- thomwolf@huggingface
- tomasstrejcekCarl Data Company
- vierjaMeta
- vyraunMicrosoft