| 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. |
| jina-ai/jina |
19,573 |
|
0 |
16 |
about 2 years ago |
2,453 |
December 01, 2023 |
19 |
apache-2.0 |
Python |
| ☁️ Build multimodal AI applications with cloud-native stack |
| keras-team/keras-tuner |
2,795 |
|
2 |
60 |
over 2 years ago |
34 |
November 07, 2023 |
203 |
apache-2.0 |
Python |
| A Hyperparameter Tuning Library for Keras |
| metarank/metarank |
1,949 |
|
0 |
0 |
about 2 years ago |
0 |
|
95 |
apache-2.0 |
Scala |
| A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine |
| vearch/vearch |
1,839 |
|
0 |
0 |
about 2 years ago |
28 |
February 18, 2022 |
162 |
other |
Go |
| A distributed vector database for embedding-based vector retrieval |
| githubharald/SimpleHTR |
1,719 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
Python |
| Handwritten Text Recognition (HTR) system implemented with TensorFlow. |
| milvus-io/bootcamp |
1,521 |
|
0 |
0 |
about 2 years ago |
0 |
|
10 |
apache-2.0 |
HTML |
| Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc. |
| 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. |
| markdtw/awesome-architecture-search |
1,011 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
|
|
| A curated list of awesome architecture search resources |
| williamFalcon/test-tube |
719 |
|
9 |
17 |
over 3 years ago |
64 |
December 01, 2019 |
27 |
mit |
JavaScript |
| Python library to easily log experiments and parallelize hyperparameter search for neural networks |
