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

4,615 +1

651 +1

GitHub
alphalens by quantopian

Performance analysis of predictive (alpha) stock factors

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

Jupyter Notebook

167 +1

3,107 +4

1,108 +0

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

168 +0

5,720 +2

858 +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

168 +0

8,130 +11

1,202 +4

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

168 +0

13,059 +16

2,964 +1

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

3,036 -1

582 -1

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

182 +0

5,782 -1

968 +0

GitHub
mlpack by mlpack

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

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

C++

182 +0

4,848 +13

1,568 -3

GitHub
scikit-image by scikit-image

Image processing in Python

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

Python

187 +1

5,901 +11

2,200 +6

GitHub
deap by DEAP

Distributed Evolutionary Algorithms in Python

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

Python

189 +0

5,584 +6

1,107 +2

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

191 +0

4,164 +12

974 +1

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.

Python

192 +0

7,780 +8

1,152 +4

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

192 +0

10,865 +13

1,168 +0

GitHub
blaze by blaze

NumPy and Pandas interface to Big Data

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

Python

194 -1

3,179 +0

393 +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

197 +0

6,296 -1

1,816 +0

GitHub
pyro by pyro-ppl

Deep universal probabilistic programming with Python and PyTorch

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

Python

201 +0

8,388 +7

983 +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

202 +0

13,605 +15

2,066 -1

GitHub
keras-rl by keras-rl

Deep Reinforcement Learning for Keras.

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

Python

204 +0

5,493 +2

1,360 -1

GitHub
trfl by deepmind

TensorFlow Reinforcement Learning

created at Aug. 8, 2018, 2:44 p.m.

Python

207 +0

3,141 +1

386 +0

GitHub
dask by dask

Parallel computing with task scheduling

created at Jan. 4, 2015, 6:50 p.m.

Python

211 +0

12,059 +23

1,674 +0

GitHub