| iansnyder333/ScholarlyRecommender |
57 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| End-to-end product that scrapes recent academic publications and prepares a feed of recommended readings for you. |
| TianHongTao/ID-DAML |
43 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
|
Python |
| 推荐系统---实验+复现+创新 |
| YifanZhou95/Translation-based-Recommendation |
19 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
Python |
| Sequential recommendation algorithm |
| Bekyilma/Recommendation-based-on-sequence- |
19 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
mit |
Python |
| Recommendation based on sequence |
| srp98/Movie-Recommender-using-RBM |
16 |
|
0 |
0 |
about 8 years ago |
0 |
|
2 |
mit |
Python |
| A Movie Recommender System using Restricted Boltzmann Machine (RBM), approach used is collaborative filtering. |
| ggeop/Realtime-Recommender |
8 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
gpl-3.0 |
Python |
| Spark-Kafka Realtime recommender Engine. |
| max0ne/twinkeydow |
7 |
|
0 |
0 |
about 7 years ago |
0 |
|
9 |
mit |
Jupyter Notebook |
| it recommends github repos |
| ashish-kamboj/Data-Science |
7 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| EDA and Machine Learning Models in R and Python (Regression, Classification, Clustering, SVM, Decision Tree, Random Forest, Time-Series Analysis, Recommender System, XGBoost) |
| anderslangballe/funk-svd |
6 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
Python |
| 🎥 Simple Python implementation of Funk SVD for MovieLens movie collaborative recommendations. |
| EthanRosenthal/newtonfm |
5 |
|
0 |
0 |
over 9 years ago |
0 |
|
0 |
|
Python |
| Factorization Machines with Newton's Method |
