shapash by MAIF

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

created at April 29, 2020, 7:34 a.m.

Jupyter Notebook

36 +0

2,677 +6

325 -1

GitHub
mars by mars-project

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

created at Dec. 5, 2018, 4:04 p.m.

Python

92 +0

2,682 +2

325 +1

GitHub
DI-engine by opendilab

OpenDILab Decision AI Engine

created at July 4, 2021, 7:11 a.m.

Python

20 +1

2,735 +48

346 +4

GitHub
m2cgen by BayesWitnesses

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

created at Jan. 13, 2019, 2:32 a.m.

Python

50 +0

2,737 +0

236 +1

GitHub
pylearn2 by lisa-lab

Warning: This project does not have any current developer. See bellow.

created at Nov. 22, 2010, 6 p.m.

Python

268 +0

2,752 -1

1,098 -1

GitHub
lightly by lightly-ai

A python library for self-supervised learning on images.

created at Oct. 13, 2020, 1:02 p.m.

Python

26 +0

2,818 +13

247 -1

GitHub
keras-tuner by keras-team

A Hyperparameter Tuning Library for Keras

created at June 6, 2019, 10:38 p.m.

Python

62 +0

2,835 +0

388 +1

GitHub
pybrain by pybrain

None

created at July 2, 2009, 10:34 a.m.

Python

237 +0

2,855 -1

791 +1

GitHub
determined by determined-ai

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

created at April 7, 2020, 4:12 p.m.

Go

80 +0

2,908 +10

348 +0

GitHub
MITIE by mit-nlp

MITIE: library and tools for information extraction

created at April 1, 2014, 10:47 p.m.

C++

193 +0

2,909 +1

535 -1

GitHub
stellargraph by stellargraph

StellarGraph - Machine Learning on Graphs

created at April 13, 2018, 7:35 a.m.

Python

62 -1

2,916 +4

425 +0

GitHub
mljar-supervised by mljar

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

created at Nov. 5, 2018, 12:58 p.m.

Python

49 +0

2,964 +6

390 +1

GitHub
gota by go-gota

Gota: DataFrames and data wrangling in Go (Golang)

created at Feb. 6, 2016, 5:23 p.m.

Go

88 +0

2,966 +6

274 +0

GitHub
shogun by shogun-toolbox

Shōgun

created at April 1, 2011, 10:44 a.m.

C++

216 +0

3,018 +3

1,038 +0

GitHub
twitter-text by twitter

Twitter Text Libraries. This code is used at Twitter to tokenize and parse text to meet the expectations for what can be used on the platform.

created at Dec. 3, 2014, 4:06 p.m.

HTML

181 +0

3,059 +1

510 -1

GitHub
igel by nidhaloff

a delightful machine learning tool that allows you to train, test, and use models without writing code

created at Aug. 27, 2020, 8:54 p.m.

Python

65 +0

3,079 +0

169 +0

GitHub
xlearn by aksnzhy

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

created at June 10, 2017, 8:09 a.m.

C++

110 +0

3,081 +3

520 +0

GitHub
blaze by blaze

NumPy and Pandas interface to Big Data

created at Oct. 26, 2012, 2:25 p.m.

Python

195 +0

3,178 +1

389 +0

GitHub
catalyst by catalyst-team

Accelerated deep learning R&D

created at Aug. 20, 2018, 7:56 a.m.

Python

45 +0

3,247 +4

385 +1

GitHub
vispy by vispy

Main repository for Vispy

created at March 21, 2013, 6:43 p.m.

Python

116 +0

3,249 +1

618 +0

GitHub