shap by shap

A game theoretic approach to explain the output of any machine learning model.

created at Nov. 22, 2016, 7:17 p.m.

Jupyter Notebook

241 +1

21,680 +42

3,171 +4

GitHub
dopamine by google

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

created at July 26, 2018, 9:58 a.m.

Jupyter Notebook

429 +0

10,375 +1

1,364 +0

GitHub
LAVIS by salesforce

LAVIS - A One-stop Library for Language-Vision Intelligence

created at Aug. 24, 2022, 2:36 a.m.

Jupyter Notebook

94 +0

8,779 +40

869 +4

GitHub
pycaret by pycaret

An open-source, low-code machine learning library in Python

created at Nov. 23, 2019, 6:40 p.m.

Jupyter Notebook

131 +1

8,440 +26

1,721 +5

GitHub
tsfresh by blue-yonder

Automatic extraction of relevant features from time series:

created at Oct. 26, 2016, 11:29 a.m.

Jupyter Notebook

167 -1

8,093 +7

1,197 +1

GitHub
skorch by skorch-dev

A scikit-learn compatible neural network library that wraps PyTorch

created at July 18, 2017, 12:13 a.m.

Jupyter Notebook

80 +0

5,635 +7

378 +0

GitHub
evidently by evidentlyai

Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

created at Nov. 25, 2020, 3:20 p.m.

Jupyter Notebook

45 +0

4,669 +18

524 +0

GitHub
lucid by tensorflow

A collection of infrastructure and tools for research in neural network interpretability.

created at Jan. 25, 2018, 5:41 p.m.

Jupyter Notebook

158 +0

4,614 +2

650 +0

GitHub
alphalens by quantopian

Performance analysis of predictive (alpha) stock factors

created at June 3, 2016, 9:49 p.m.

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166 +0

3,097 +8

1,107 +3

GitHub
botorch by pytorch

Bayesian optimization in PyTorch

created at July 30, 2018, 11:59 p.m.

Jupyter Notebook

53 +0

2,958 +5

371 +2

GitHub
eli5 by TeamHG-Memex

A library for debugging/inspecting machine learning classifiers and explaining their predictions

created at Sept. 15, 2016, 1:04 a.m.

Jupyter Notebook

67 +0

2,728 -2

332 +0

GitHub
gluon-api by gluon-api

A clear, concise, simple yet powerful and efficient API for deep learning.

created at Oct. 6, 2017, 7:08 p.m.

Jupyter Notebook

150 +0

2,299 +0

218 +0

GitHub
pyLDAvis by bmabey

Python library for interactive topic model visualization. Port of the R LDAvis package.

created at April 9, 2015, 10:48 p.m.

Jupyter Notebook

51 +0

1,780 +1

359 -1

GitHub
hyperlearn by unslothai

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

created at Aug. 27, 2018, 4 p.m.

Jupyter Notebook

87 +0

1,594 +14

119 +0

GitHub
hamilton by DAGWorks-Inc

Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.

created at Feb. 23, 2023, 5:16 p.m.

Jupyter Notebook

12 +0

1,368 +47

84 +1

GitHub
ydata-synthetic by ydataai

Synthetic data generators for tabular and time-series data

created at May 4, 2020, 3:52 p.m.

Jupyter Notebook

31 +0

1,296 +4

219 +1

GitHub
pysal by pysal

PySAL: Python Spatial Analysis Library Meta-Package

created at Feb. 19, 2013, 5:27 p.m.

Jupyter Notebook

80 +0

1,278 +5

302 +1

GitHub
PDPbox by SauceCat

python partial dependence plot toolbox

created at June 26, 2017, 8:01 a.m.

Jupyter Notebook

18 +0

823 +4

130 +1

GitHub
anchor by marcotcr

Code for "High-Precision Model-Agnostic Explanations" paper

created at Feb. 2, 2018, 11:38 p.m.

Jupyter Notebook

27 +0

785 +2

115 +0

GitHub
tffm by geffy

TensorFlow implementation of an arbitrary order Factorization Machine

created at May 2, 2016, 5:06 p.m.

Jupyter Notebook

33 +0

783 +0

175 +0

GitHub