| scutan90/DeepLearning-500-questions |
52,013 |
|
0 |
0 |
over 2 years ago |
0 |
|
112 |
gpl-3.0 |
JavaScript |
| 深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06 |
| apachecn/ailearning |
37,352 |
|
0 |
2 |
over 2 years ago |
8 |
March 20, 2022 |
1 |
other |
Python |
| AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2 |
| h2oai/h2o-3 |
7,487 |
|
62 |
33 |
4 days ago |
49 |
August 09, 2023 |
2,746 |
apache-2.0 |
Jupyter Notebook |
| H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc. |
| lawlite19/MachineLearning_Python |
5,892 |
|
0 |
0 |
over 2 years ago |
0 |
|
10 |
mit |
Python |
| 机器学习算法python实现 |
| Sakura-gh/ML-notes |
3,198 |
|
0 |
0 |
over 4 years ago |
0 |
|
3 |
gpl-2.0 |
HTML |
| notes about machine learning |
| mljs/ml |
2,235 |
|
8 |
11 |
about 4 years ago |
56 |
June 10, 2021 |
25 |
mit |
JavaScript |
| Machine learning tools in JavaScript |
| heucoder/dimensionality_reduction_alo_codes |
1,949 |
|
0 |
0 |
almost 3 years ago |
0 |
|
4 |
apache-2.0 |
Python |
| 特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现 |
| danielhanchen/hyperlearn |
1,387 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
apache-2.0 |
Jupyter Notebook |
| 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old. |
| liuyubobobo/Play-with-Machine-Learning-Algorithms |
1,164 |
|
0 |
0 |
over 3 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。 |
| MaxHalford/prince |
1,161 |
|
3 |
7 |
over 2 years ago |
59 |
October 11, 2023 |
4 |
mit |
Python |
| :crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA |
