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
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
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
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
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
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
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
gradio by gradio-app

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

created at Dec. 19, 2018, 8:24 a.m.

Python

177 +1

33,986 +187

2,579 +15

GitHub
MMdnn by Microsoft

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

created at Aug. 16, 2017, 8:03 a.m.

Python

181 +0

5,797 +0

965 +0

GitHub
mlpack by mlpack

mlpack: a fast, header-only C++ machine learning library

created at Dec. 17, 2014, 6:16 p.m.

C++

184 +0

5,117 +11

1,607 +2

GitHub
scikit-image by scikit-image

Image processing in Python

created at July 7, 2011, 10:07 p.m.

Python

186 +0

6,091 +9

2,235 +4

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.

created at July 18, 2017, 5:29 a.m.

C++

191 +0

8,091 +9

1,190 +2

GitHub
deap by DEAP

Distributed Evolutionary Algorithms in Python

created at May 21, 2014, 8:07 p.m.

Python

191 +0

5,852 +8

1,128 +0

GitHub
Cirq by quantumlib

A Python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.

created at Dec. 14, 2017, 11:41 p.m.

Python

193 +0

4,282 +8

1,020 +6

GitHub
ludwig by ludwig-ai

Low-code framework for building custom LLMs, neural networks, and other AI models

created at Dec. 27, 2018, 11:58 p.m.

Python

194 +0

11,186 +7

1,194 +2

GitHub
blaze by blaze

NumPy and Pandas interface to Big Data

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

Python

194 +0

3,187 +0

391 +0

GitHub
tensorpack by tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

created at Dec. 25, 2015, 11:08 p.m.

Python

196 +0

6,303 +2

1,811 +0

GitHub
pyro by pyro-ppl

Deep universal probabilistic programming with Python and PyTorch

created at June 16, 2017, 5:03 a.m.

Python

200 +0

8,567 +19

986 +1

GitHub
keras-rl by keras-rl

Deep Reinforcement Learning for Keras.

created at July 2, 2016, 3:53 p.m.

Python

200 +0

5,526 +2

1,364 +0

GitHub
flair by flairNLP

A very simple framework for state-of-the-art Natural Language Processing (NLP)

created at June 11, 2018, 11:04 a.m.

Python

204 +0

13,940 +9

2,104 +0

GitHub