| recommenders-team/recommenders |
17,440 |
|
0 |
2 |
about 2 years ago |
11 |
April 01, 2022 |
169 |
mit |
Python |
| Best Practices on Recommendation Systems |
| google/caliban |
492 |
|
0 |
0 |
about 2 years ago |
11 |
September 12, 2020 |
20 |
apache-2.0 |
Python |
| Research workflows made easy, locally and in the Cloud. |
| Morphl-AI/MorphL-Community-Edition |
233 |
|
0 |
0 |
over 6 years ago |
0 |
|
7 |
apache-2.0 |
Python |
| MorphL Community Edition uses big data and machine learning to predict user behaviors in digital products and services with the end goal of increasing KPIs (click-through rates, conversion rates, etc.) through personalization |
| breakwa11/GoAIRatings |
94 |
|
0 |
0 |
over 5 years ago |
0 |
|
13 |
mit |
|
| Estimate Go AI ratings by real games |
| zeke-xie/adaptive-inertia-adai |
94 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
mit |
Python |
| The PyTorch Implementation of Adaptive Inertia Methods. The algorithms are based on our ICML2022 Oral paper: "Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum". |
| maikherbig/AIDeveloper |
74 |
|
0 |
0 |
about 3 years ago |
0 |
|
8 |
bsd-2-clause |
Python |
| GUI-based software for training, evaluating and applying deep neural nets for image classification |
| lucidrains/product-key-memory |
50 |
|
0 |
4 |
over 2 years ago |
33 |
August 29, 2023 |
0 |
mit |
Python |
| Standalone Product Key Memory module in Pytorch - for augmenting Transformer models |
| daconjam/Recommender-System-Datasets |
50 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
gpl-3.0 |
|
| A list of compatible datasets, noting other major repositories containing popular real-world datasets, along with sample code for a range of recommendation tasks. |
| bagaturchess/Bagatur |
49 |
|
0 |
0 |
about 2 years ago |
0 |
|
1 |
epl-2.0 |
Java |
| Java Chess Engine (UCI compatible) |
| GitYCC/tbrain_esun_house_price_predict |
28 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
|
Python |
| Tbrain舉辦的「玉山人工智慧公開挑戰賽2019夏季賽 - 台灣不動產AI神預測」冠軍隊伍 |
