| recommenders-team/recommenders |
17,440 |
|
0 |
2 |
about 2 years ago |
11 |
April 01, 2022 |
169 |
mit |
Python |
| Best Practices on Recommendation Systems |
| cheungdaven/DeepRec |
1,068 |
|
0 |
0 |
almost 4 years ago |
0 |
|
8 |
gpl-3.0 |
Python |
| An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow. |
| Picovoice/speech-to-text-benchmark |
570 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| speech to text benchmark framework |
| ildoonet/pytorch-gradual-warmup-lr |
511 |
|
0 |
2 |
over 5 years ago |
1 |
May 23, 2021 |
11 |
mit |
Python |
| Gradually-Warmup Learning Rate Scheduler for PyTorch |
| shenweichen/DSIN |
405 |
|
0 |
0 |
almost 3 years ago |
0 |
|
5 |
apache-2.0 |
Python |
| Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction" |
| wnzhang/deep-ctr |
399 |
|
0 |
0 |
almost 9 years ago |
0 |
|
3 |
|
Python |
| An attempt of training DNN models to predict ad click-through rate, implemented with Theano. |
| evanzd/ICLR2021-OpenReviewData |
365 |
|
0 |
0 |
over 4 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Crawl & visualize ICLR papers and reviews. |
| instillai/Generative-Adversarial-Networks-Roadmap |
346 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
Python |
| The Roadmap to Learn Generative Adversarial Networks (GANs) |
| Tony-Y/pytorch_warmup |
337 |
|
0 |
3 |
about 2 years ago |
4 |
October 24, 2022 |
0 |
mit |
Python |
| Learning Rate Warmup in PyTorch |
| titu1994/Snapshot-Ensembles |
277 |
|
0 |
0 |
over 8 years ago |
0 |
|
5 |
apache-2.0 |
Python |
| Snapshot Ensemble in Keras |
