Question Answering
Exploration of various deep neural networks for Question Answering and Reading Comprehension
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Tensorflow | 180,196 | 327 | 78 | 3 months ago | 46 | October 23, 2019 | 2,049 | apache-2.0 | C++ | |
| An Open Source Machine Learning Framework for Everyone | ||||||||||
| Faceswap | 48,125 | 3 months ago | 18 | gpl-3.0 | Python | |||||
| Deepfakes Software For All | ||||||||||
| Deepfacelab | 43,455 | 6 months ago | 547 | gpl-3.0 | Python | |||||
| DeepFaceLab is the leading software for creating deepfakes. | ||||||||||
| Darknet | 21,048 | 6 months ago | n,ull | other | C | |||||
| YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet ) | ||||||||||
| Cntk | 17,463 | 1 | a year ago | 6 | March 01, 2018 | 836 | other | C++ | ||
| Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit | ||||||||||
| Onnx | 16,275 |  | 148 | 493 | 3 months ago | 31 | October 26, 2023 | 296 | apache-2.0 | Python |
| Open standard for machine learning interoperability | ||||||||||
| Machine Learning Tutorials | 13,851 | 8 months ago | 35 | cc0-1.0 | ||||||
| machine learning and deep learning tutorials, articles and other resources | ||||||||||
| The Incredible Pytorch | 10,557 | 3 months ago | 1 | mit | ||||||
| The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch. | ||||||||||
| Serving | 6,045 | 3 months ago | 90 | apache-2.0 | C++ | |||||
| A flexible, high-performance serving system for machine learning models | ||||||||||
| Oneflow | 5,578 | 3 months ago | 10 | September 25, 2023 | 467 | apache-2.0 | C++ | |||
| OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient. | ||||||||||
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Python
Neural Network
Deep Neural Networks
Attention
Sequence To Sequence
Questions And Answers
Seq2seq Model