dask-ml by dask

Scalable Machine Learning with Dask

updated at June 1, 2024, 8:17 a.m.

Python

40 +0

884 +0

250 +1

GitHub
BayesianOptimization by bayesian-optimization

A Python implementation of global optimization with gaussian processes.

updated at June 1, 2024, 8:14 a.m.

Python

134 +0

7,573 +13

1,506 +2

GitHub
keras-rl by keras-rl

Deep Reinforcement Learning for Keras.

updated at June 1, 2024, 8:09 a.m.

Python

204 +0

5,496 +1

1,360 +0

GitHub
catboost by catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

updated at June 1, 2024, 7:43 a.m.

Python

192 +0

7,814 +12

1,160 +3

GitHub
great_expectations by great-expectations

Always know what to expect from your data.

updated at June 1, 2024, 7:30 a.m.

Python

83 +1

9,568 +15

1,487 +1

GitHub
karateclub by benedekrozemberczki

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

updated at June 1, 2024, 7:07 a.m.

Python

38 +0

2,092 +0

241 +1

GitHub
rlpyt by astooke

Reinforcement Learning in PyTorch

updated at June 1, 2024, 6:44 a.m.

Python

52 +0

2,205 -1

324 +0

GitHub
agents by tensorflow

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

updated at June 1, 2024, 6:42 a.m.

Python

80 +1

2,747 +6

721 +2

GitHub
tensorforce by tensorforce

Tensorforce: a TensorFlow library for applied reinforcement learning

updated at June 1, 2024, 6:41 a.m.

Python

144 +0

3,285 +1

535 +0

GitHub
acme by deepmind

A library of reinforcement learning components and agents

updated at June 1, 2024, 6:40 a.m.

Python

83 +1

3,400 +1

418 +0

GitHub
pgmpy by pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

updated at June 1, 2024, 6:18 a.m.

Python

74 +0

2,633 +5

692 +0

GitHub
yellowbrick by DistrictDataLabs

Visual analysis and diagnostic tools to facilitate machine learning model selection.

updated at June 1, 2024, 4:17 a.m.

Python

105 +1

4,219 +5

553 +0

GitHub
qiskit by Qiskit

Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.

updated at June 1, 2024, 3:25 a.m.

Python

212 +0

4,724 +13

2,258 +8

GitHub
hyperopt-sklearn by hyperopt

Hyper-parameter optimization for sklearn

updated at June 1, 2024, 3:02 a.m.

Python

58 +0

1,548 +1

271 +0

GitHub
SMAC3 by automl

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

updated at June 1, 2024, 3:02 a.m.

Python

41 +0

1,025 +5

217 +0

GitHub
scikit-optimize by scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

updated at June 1, 2024, 3:02 a.m.

Python

64 +0

2,727 +2

547 +2

GitHub
hyperopt by hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

updated at June 1, 2024, 3:02 a.m.

Python

124 +0

7,108 +4

1,046 +2

GitHub
deap by DEAP

Distributed Evolutionary Algorithms in Python

updated at June 1, 2024, 3:01 a.m.

Python

190 +0

5,597 +6

1,109 +2

GitHub
bokeh by bokeh

Interactive Data Visualization in the browser, from Python

updated at June 1, 2024, 3 a.m.

Python

443 +0

18,922 +19

4,159 -1

GitHub
tpot by EpistasisLab

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

updated at June 1, 2024, 2:31 a.m.

Python

287 +0

9,543 +8

1,547 -1

GitHub