| BayesWitnesses/m2cgen |
2,411 |
|
0 |
3 |
about 3 years ago |
13 |
April 26, 2022 |
43 |
mit |
Python |
| Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies |
| rickiepark/handson-ml |
277 |
|
0 |
0 |
about 6 years ago |
0 |
|
|
apache-2.0 |
Jupyter Notebook |
| 도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다. |
| andriygav/MachineLearningSeminars |
240 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Семинары А.В. Грабового к лекционному курсу К.В. Воронцова. |
| LeBron-Jian/MachineLearningNote |
114 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| dengxiuqi/WeiboSentiment |
104 |
|
0 |
0 |
almost 5 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| 基于各种机器学习和深度学习的中文微博情感分析 |
| Western-OC2-Lab/OASW-Concept-Drift-Detection-and-Adaptation |
42 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine. |
| YijunRan/Terminal-Changes-Prediction |
34 |
|
0 |
0 |
almost 10 years ago |
0 |
|
1 |
|
Python |
| 基于某城市移动终端用户的运营商数据预测未来三月内用户是否会终端变迁(用户从当前使用的手机品牌更换为其他手机品牌)。应用xgboost算法和随机森林算法组合成多学习器预测模型。 |
| Nikronic/Machine-Learning-Models |
26 |
|
0 |
0 |
over 4 years ago |
0 |
|
2 |
mit |
Python |
| In This repository I made some simple to complex methods in machine learning. Here I try to build template style code. |
| primaryobjects/fashion |
22 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
R |
| The Fashion-MNIST dataset and machine learning models. |
| FelixHo/Text-Classification-Benchmark |
16 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
mit |
Python |
| 文本分类基准测试 |
