dgl by dmlc

Python package built to ease deep learning on graph, on top of existing DL frameworks.

created at April 20, 2018, 2:49 p.m.

Python

175 +0

13,549 +17

3,015 +0

GitHub
arctic by manahl

High performance datastore for time series and tick data

created at May 29, 2015, 1:37 p.m.

Python

173 +0

3,055 +0

583 -1

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
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
polars by pola-rs

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

created at May 13, 2020, 7:45 p.m.

Rust

167 +1

30,385 +133

1,966 +13

GitHub
snorkel by snorkel-team

A system for quickly generating training data with weak supervision

created at Feb. 26, 2016, 5:52 a.m.

Python

166 +0

5,809 +2

857 +0

GitHub
featuretools by alteryx

An open source python library for automated feature engineering

created at Sept. 8, 2017, 10:15 p.m.

Python

158 +0

7,270 +11

878 -1

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
nnabla by sony

Neural Network Libraries

created at June 26, 2017, 1:07 a.m.

Python

154 +0

2,728 +1

334 +0

GitHub
cudf by rapidsai

cuDF - GPU DataFrame Library

created at May 7, 2017, 3:43 a.m.

C++

154 +0

8,448 +22

908 +5

GitHub
gluon-cv by dmlc

Gluon CV Toolkit

created at Feb. 26, 2018, 1:33 a.m.

Python

152 +0

5,833 +3

1,216 +0

GitHub
ydata-profiling by ydataai

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

created at Jan. 9, 2016, 11:47 p.m.

Python

152 +0

12,533 +13

1,685 +3

GitHub
pytorch3d by facebookresearch

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

created at Oct. 25, 2019, 2:23 a.m.

Python

149 +1

8,811 +20

1,315 +1

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
ReAgent by facebookresearch

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

created at July 27, 2017, 5:53 p.m.

Python

147 +0

3,575 +2

521 +0

GitHub
Surprise by NicolasHug

A Python scikit for building and analyzing recommender systems

created at Oct. 23, 2016, 2:59 p.m.

Python

146 +0

6,413 +4

1,016 +1

GitHub
vaex by vaexio

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

created at Sept. 27, 2014, 9:44 a.m.

Python

144 +0

8,297 +7

590 +0

GitHub
tensorforce by tensorforce

Tensorforce: a TensorFlow library for applied reinforcement learning

created at March 19, 2017, 4:24 p.m.

Python

141 +0

3,296 +0

530 +0

GitHub
imbalanced-learn by scikit-learn-contrib

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

created at Aug. 16, 2014, 5:08 a.m.

Python

141 +0

6,846 +2

1,283 +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