| eugeneyan/applied-ml |
24,828 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
mit |
|
| 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production. |
| TheAlgorithms/C |
17,588 |
|
0 |
0 |
about 2 years ago |
0 |
|
21 |
gpl-3.0 |
C |
| Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes. |
| o19s/elasticsearch-learning-to-rank |
1,454 |
|
0 |
0 |
about 2 years ago |
26 |
January 30, 2023 |
35 |
apache-2.0 |
Java |
| Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch |
| guyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising |
1,167 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
Python |
| Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on. |
| antontarasenko/awesome-economics |
1,101 |
|
0 |
0 |
over 2 years ago |
0 |
|
8 |
|
|
| A curated collection of links for economists |
| windmaple/awesome-AutoML |
785 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
gpl-3.0 |
|
| Curating a list of AutoML-related research, tools, projects and other resources |
| aquadzn/learn-x-by-doing-y |
770 |
|
0 |
0 |
about 2 years ago |
0 |
|
3 |
mit |
Python |
| 🛠️ Learn a technology X by doing a project - Search engine of project-based learning |
| perone/euclidesdb |
583 |
|
0 |
0 |
over 6 years ago |
2 |
February 12, 2019 |
13 |
other |
C++ |
| A multi-model machine learning feature embedding database |
| benedekrozemberczki/awesome-monte-carlo-tree-search-papers |
537 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
cc0-1.0 |
Python |
| A curated list of Monte Carlo tree search papers with implementations. |
| SimonBlanke/Hyperactive |
475 |
|
0 |
5 |
over 2 years ago |
75 |
October 24, 2023 |
8 |
mit |
Python |
| An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models. |