| donnemartin/data-science-ipython-notebooks |
25,668 |
|
0 |
0 |
over 2 years ago |
0 |
|
34 |
other |
Python |
| Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. |
| h2oai/h2o-3 |
7,487 |
|
62 |
33 |
5 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. |
| microsoft/SynapseML |
4,914 |
|
0 |
6 |
about 2 years ago |
12 |
November 27, 2023 |
335 |
mit |
Scala |
| Simple and Distributed Machine Learning |
| rom1504/img2dataset |
2,986 |
|
0 |
2 |
about 2 years ago |
83 |
August 20, 2023 |
107 |
mit |
Python |
| Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine. |
| Moataz-Elmesmary/Data-Science-Roadmap |
2,445 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
mit |
|
| Data Science Roadmap from A to Z |
| YoongiKim/AutoCrawler |
1,454 |
|
0 |
0 |
over 2 years ago |
0 |
|
11 |
apache-2.0 |
Python |
| Google, Naver multiprocess image web crawler (Selenium) |
| DeepWisdom/AutoDL |
999 |
|
0 |
0 |
over 3 years ago |
2 |
May 18, 2020 |
23 |
apache-2.0 |
Python |
| Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS. |
| miguelgfierro/sciblog_support |
742 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
other |
Jupyter Notebook |
| Support content for my blog |
| salimt/Courses- |
590 |
|
0 |
0 |
almost 3 years ago |
0 |
|
8 |
apache-2.0 |
Jupyter Notebook |
| Answers for Quizzes & Assignments that I have taken |
| NishkarshRaj/100DaysofMLCode |
302 |
|
0 |
0 |
over 2 years ago |
0 |
|
35 |
mit |
Jupyter Notebook |
| My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1: |
