https://github.com/CEA-LIST/N2D2

N2D2 is an open source CAD framework for Deep Neural Network simulation and full DNN-based applications building.
https://github.com/CEA-LIST/N2D2

artificial-intelligence deep-learning deep-learning-library deep-neural-networks machine-learning neural-network spike-inference

Last synced: about 2 months ago
JSON representation

N2D2 is an open source CAD framework for Deep Neural Network simulation and full DNN-based applications building.

• Host: GitHub
• URL: https://github.com/CEA-LIST/N2D2
• Owner: CEA-LIST
• License: other
• Created: 2017-01-06T13:01:02.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2024-03-18T14:15:21.000Z (3 months ago)
• Last Synced: 2024-03-18T15:45:36.712Z (3 months ago)
• Topics: artificial-intelligence, deep-learning, deep-learning-library, deep-neural-networks, machine-learning, neural-network, spike-inference
• Language: C
• Homepage:
• Size: 467 MB
• Stars: 139
• Watchers: 15
• Forks: 35
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

Lists

• awesome-machine-learning - N2D2 - CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms (C++ / [Tools](#tools-1))
• awesome-machine-learning - N2D2 - CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms (C++)
• awesome-machine-learning - N2D2 - CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms (C++ / [Tools](#tools-1))
• awesome-machine-learning - N2D2 - CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms (C++ / [Tools](#tools-1))
• awesome-approximate-dnn - N2D2 - framework for creating HLS from N2D2 trained model (support ONNX import), create streamline architecture (Tools / FPGA based accelerator / HLS for CNNs)