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

245 +1

22,880 +52

3,290 +0

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

425 +0

10,569 +8

1,375 -2

GitHub
LAVIS by salesforce

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

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

Jupyter Notebook

99 +0

9,930 +31

973 +2

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

136 +1

8,955 +26

1,774 +3

GitHub
tsfresh by blue-yonder

Automatic extraction of relevant features from time series:

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

Jupyter Notebook

171 +0

8,436 +7

1,214 +2

GitHub
flax by google

Flax is a neural network library for JAX that is designed for flexibility.

created at Jan. 10, 2020, 9:48 a.m.

Jupyter Notebook

86 +0

6,136 +27

646 +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

81 +0

5,882 +4

390 +0

GitHub
evidently by evidentlyai

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

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

Jupyter Notebook

48 -1

5,400 +35

597 +2

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

4,673 +1

654 +0

GitHub
alphalens by quantopian

Performance analysis of predictive (alpha) stock factors

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

Jupyter Notebook

169 +1

3,384 +23

1,153 +7

GitHub
botorch by pytorch

Bayesian optimization in PyTorch

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

Jupyter Notebook

52 +0

3,104 +6

404 +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

69 +0

2,757 +0

334 +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

149 +0

2,299 -1

216 +0

GitHub
hamilton by DAGWorks-Inc

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

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

Jupyter Notebook

17 +1

1,864 +9

124 +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

91 +0

1,842 +5

130 +1

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

47 +0

1,805 +0

363 +0

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

32 +0

1,441 +2

235 +0

GitHub
pycma by CMA-ES

Python implementation of CMA-ES

created at Sept. 22, 2016, 1:55 p.m.

Jupyter Notebook

16 +0

1,109 +2

179 +1

GitHub
PDPbox by SauceCat

python partial dependence plot toolbox

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

Jupyter Notebook

18 +0

845 +0

129 +0

GitHub
anchor by marcotcr

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

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

Jupyter Notebook

28 +0

798 +1

114 +0

GitHub