| d2l-ai/d2l-en |
20,613 |
|
0 |
0 |
about 2 years ago |
2 |
November 13, 2022 |
115 |
other |
Python |
| Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge. |
| recommenders-team/recommenders |
17,440 |
|
0 |
2 |
about 2 years ago |
11 |
April 01, 2022 |
169 |
mit |
Python |
| Best Practices on Recommendation Systems |
| qdrant/qdrant |
15,789 |
|
0 |
0 |
about 2 years ago |
0 |
|
212 |
apache-2.0 |
Rust |
| Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/ |
| weaviate/weaviate |
15,498 |
|
0 |
14 |
2 months ago |
131 |
December 06, 2023 |
401 |
bsd-3-clause |
Go |
| Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database. |
| NVIDIA/DeepLearningExamples |
12,073 |
|
0 |
0 |
about 2 years ago |
0 |
|
295 |
|
Jupyter Notebook |
| State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure. |
| alexanderepstein/Bash-Snippets |
9,224 |
|
0 |
0 |
over 2 years ago |
1 |
February 27, 2018 |
10 |
mit |
Shell |
| A collection of small bash scripts for heavy terminal users |
| gorse-io/gorse |
7,834 |
|
0 |
1 |
over 2 years ago |
54 |
June 05, 2023 |
73 |
apache-2.0 |
Go |
| Gorse open source recommender system engine |
| amusi/Deep-Learning-Interview-Book |
6,435 |
|
0 |
0 |
about 2 years ago |
0 |
|
10 |
|
|
| 深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向） |
| hongleizhang/RSPapers |
5,701 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
|
| A Curated List of Must-read Papers on Recommender System. |
| openvinotoolkit/openvino |
5,316 |
|
0 |
0 |
about 2 years ago |
3 |
November 19, 2021 |
345 |
apache-2.0 |
C++ |
| OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference |
