thundergbm by Xtra-Computing

ThunderGBM: Fast GBDTs and Random Forests on GPUs

created at Nov. 11, 2016, 9:58 a.m.

C++

26 +0

693 +0

86 +0

GitHub
quaternion by moble

Add built-in support for quaternions to numpy

created at Dec. 11, 2014, 10:59 p.m.

Python

23 +0

612 +2

86 +0

GitHub
mlforecast by Nixtla

Scalable machine 🤖 learning for time series forecasting.

created at April 26, 2021, 8:58 p.m.

Python

12 +0

899 +7

88 +0

GitHub
chemicalx by AstraZeneca

A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

created at Dec. 6, 2021, 3:32 p.m.

Python

22 +0

714 +2

88 +0

GitHub
jraph by deepmind

A Graph Neural Network Library in Jax

created at Nov. 23, 2020, 10:27 a.m.

Python

39 +0

1,375 +1

90 +0

GitHub
CapsNet-Visualization by bourdakos1

🎆 A visualization of the CapsNet layers to better understand how it works

created at Jan. 19, 2018, 8:46 p.m.

Python

13 +0

394 +1

93 +0

GitHub
tensorflow-upstream by ROCm

TensorFlow ROCm port

created at April 9, 2018, 9:24 p.m.

C++

50 +0

688 +0

94 +0

GitHub
marsyas by marsyas

Marsyas - Music Analysis, Retrieval and Synthesis for Audio Signals

created at June 24, 2013, 9:24 p.m.

C++

37 +0

406 +0

97 +0

GitHub
OpenFE by IIIS-Li-Group

OpenFE: automated feature generation with expert-level performance

created at Nov. 21, 2022, 11:20 a.m.

Python

9 +0

781 +0

99 +0

GitHub
recmetrics by statisticianinstilettos

A library of metrics for evaluating recommender systems

created at Oct. 15, 2018, 3:29 p.m.

Jupyter Notebook

15 +0

569 +1

99 +1

GitHub
imbalanced-algorithms by dialnd

Python-based implementations of algorithms for learning on imbalanced data.

created at Aug. 24, 2016, 8:59 p.m.

Python

13 +0

235 +0

100 +0

GitHub
envpool by sail-sg

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

created at Oct. 20, 2021, 9:11 p.m.

C++

23 +0

1,094 +2

100 +0

GitHub
treelite by dmlc

Universal model exchange and serialization format for decision tree forests

created at June 28, 2017, 11:39 p.m.

C++

39 +0

738 +0

100 +0

GitHub
seqlearn by larsmans

Sequence learning toolkit for Python

created at July 31, 2013, 6:15 p.m.

Python

40 +0

689 +1

102 +0

GitHub
swifter by jmcarpenter2

A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner

created at April 7, 2018, 9:37 p.m.

Python

30 +0

2,540 +4

102 +0

GitHub
qkeras by google

QKeras: a quantization deep learning library for Tensorflow Keras

created at Aug. 6, 2019, 10:11 p.m.

Python

32 +1

540 +1

104 +0

GitHub
bottleneck by pydata

Fast NumPy array functions written in C

created at Nov. 27, 2010, 11:21 p.m.

Python

35 +0

1,073 +2

104 +0

GitHub
greykite by linkedin

A flexible, intuitive and fast forecasting library

created at April 27, 2021, 5:05 p.m.

Python

39 +0

1,813 +0

106 +1

GitHub
tick by X-DataInitiative

Module for statistical learning, with a particular emphasis on time-dependent modelling

created at Dec. 1, 2016, 10:59 a.m.

Python

36 +0

490 +0

108 +1

GitHub
decision-forests by tensorflow

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

created at April 22, 2021, 2:37 p.m.

Python

24 +0

660 +0

110 +0

GitHub