| yhangf/ML-NOTE |
617 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
mit |
|
| :orange_book:慢慢整理所学的机器学习算法，并根据自己所理解的样子叙述出来。(注重数学推导) |
| immunogenomics/harmony |
460 |
|
0 |
0 |
over 2 years ago |
0 |
|
61 |
other |
R |
| Fast, sensitive and accurate integration of single-cell data with Harmony |
| h2oai/h2o4gpu |
421 |
|
0 |
0 |
almost 5 years ago |
1 |
March 23, 2018 |
152 |
apache-2.0 |
Python |
| H2Oai GPU Edition |
| luokn/ml |
153 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
| 经典机器学习算法的极简实现 |
| danielkunin/Regularized-Linear-Autoencoders |
132 |
|
0 |
0 |
almost 4 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| Loss Landscapes of Regularized Linear Autoencoders |
| erichson/ristretto |
94 |
|
0 |
0 |
almost 5 years ago |
4 |
August 17, 2017 |
7 |
gpl-3.0 |
Jupyter Notebook |
| Randomized Dimension Reduction Library |
| sylvaticus/BetaML.jl |
83 |
|
0 |
0 |
about 2 years ago |
0 |
|
7 |
mit |
Julia |
| Beta Machine Learning Toolkit |
| Atcold/torch-Machine-learning-with-Torch |
52 |
|
0 |
0 |
over 11 years ago |
0 |
|
0 |
|
Lua |
| Collection of simple machine learning algorithms for Torch |
| sdq/deepvis |
38 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Swift |
| machine learning algorithms in Swift |
| napsternxg/deepwalk_keras_igraph |
37 |
|
0 |
0 |
over 10 years ago |
0 |
|
0 |
gpl-2.0 |
Python |
| Reimplementation of deepwalk algorithm from https://github.com/phanein/deepwalk |
