deepchecks by deepchecks
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
created at Oct. 11, 2021, 2:48 p.m.
pyss3 by sergioburdisso
A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI 
)
created at Nov. 11, 2019, 4:14 p.m.
python-zpar by EducationalTestingService
A python wrapper around the ZPar parser for English.
created at Sept. 8, 2014, 1:41 p.m.
StatsKit.jl by JuliaStats
Convenience meta-package to load essential packages for statistics
created at Jan. 19, 2014, 12:24 a.m.
MixedModels.jl by JuliaStats
A Julia package for fitting (statistical) mixed-effects models
created at March 29, 2013, 9:24 p.m.
tech.ml.dataset by techascent
A Clojure high performance data processing system
created at Feb. 14, 2019, 5:07 p.m.
DataFramesMeta.jl by JuliaData
Metaprogramming tools for DataFrames
created at Feb. 5, 2014, 12:16 a.m.
Neuraxle by Neuraxio
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
created at March 26, 2019, 9:01 p.m.
deep-learning-project-template by PyTorchLightning
Pytorch Lightning code guideline for conferences
created at Aug. 23, 2019, 4:50 p.m.
TResNet by Alibaba-MIIL
Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)
created at March 27, 2020, 5:53 p.m.
Distances.jl by JuliaStats
A Julia package for evaluating distances (metrics) between vectors.
created at Aug. 26, 2014, 4:25 a.m.