| microsoft/LightGBM |
15,819 |
|
278 |
574 |
about 2 years ago |
34 |
September 12, 2023 |
345 |
mit |
C++ |
| A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. |
| madebr/pyOpt |
77 |
|
0 |
0 |
over 2 years ago |
0 |
|
15 |
other |
Fortran |
| Fork of http://www.pyopt.org/ (python3 compatible) |
| ucla-vision/parle |
38 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
|
Python |
| uclaopt/TMAC |
29 |
|
0 |
0 |
almost 9 years ago |
0 |
|
6 |
|
C++ |
| TMAC: A Toolbox of Modern Async-Parallel, Coordinate, Splitting, and Stochastic Methods |
| kjzhang/kzhang-cs205-l0-smoothing |
23 |
|
0 |
0 |
over 13 years ago |
0 |
|
0 |
|
Python |
| Parallel Image Smoothing via L0 Gradient Minimization |
| EngineerDDP/Parallel-SGD |
22 |
|
0 |
0 |
over 4 years ago |
0 |
|
2 |
|
Python |
| 一个用于联邦学习或分布式机器学习，对不同网络拓扑进行实验的简易框架。 |
| CNevd/Parallel-GBDT |
21 |
|
0 |
0 |
almost 10 years ago |
0 |
|
0 |
|
C++ |
| Parallel Gradient Boosting Decision Trees |
| srQ-cpc/D-PSGD |
19 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
|
Python |
| Algorithm: Decentralized Parallel Stochastic Gradient Descent |
| AStupidBear/GCMAES.jl |
19 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
mit |
Julia |
| Gradient-based Covariance Matrix Adaptation Evolutionary Strategy for Real Blackbox Optimization |
| angadgill/Parallel-SGD |
15 |
|
0 |
0 |
over 9 years ago |
0 |
|
0 |
|
Python |
| Parallel implementation of Stochastic Gradient Descent using SciKit-Learn library in Python. |
