N2D2
NN simulator
A CAD framework for designing and simulating Deep Neural Networks on embedded platforms
N2D2 is an open source CAD framework for Deep Neural Network simulation and full DNN-based applications building.
148 stars
15 watching
35 forks
Language: C
last commit: 8 months ago
Linked from 1 awesome list
artificial-intelligencedeep-learningdeep-learning-librarydeep-neural-networksmachine-learningneural-networkspike-inference
Related projects:
Repository | Description | Stars |
---|---|---|
| A toolkit for building and training dynamic neural networks | 463 |
| A simulator for spiking neural networks written in Python | 950 |
| A minimal C library for training and using feedforward artificial neural networks | 2,017 |
| A high-level networking API for real-time simulations with remote procedure call and object state replication primitives | 26 |
| A neural network potential for atomistic modeling | 258 |
| An implementation of convolutional neural networks in Matlab, providing GPU-enabled vectorized processing for image recognition and processing tasks. | 136 |
| An open-source C++ library for building and training neural networks | 120 |
| An implementation of a neural network framework for computer vision tasks, supporting both CPU and GPU computation. | 244 |
| An extension for large-scale simulation data in neurophysiology research | 4 |
| A MATLAB implementation of a deep belief network used for generative learning and visualization of the neural network simulation process. | 48 |
| A high-performance GPU implementation of neural networks using C++ | 507 |
| An implementation of artificial neural networks using NumPy | 98 |
| Generates hardware-specific accelerator designs for neural networks | 340 |
| A software tool for simulating and analyzing Network-on-Chip architectures in computer networks | 250 |
| An implementation of neural network components and optimization methods for text analysis, including rationales for neural predictions. | 355 |