nngen
Accelerator generator
Generates hardware-specific accelerator designs for neural networks
NNgen: A Fully-Customizable Hardware Synthesis Compiler for Deep Neural Network
340 stars
21 watching
46 forks
Language: Python
last commit: about 2 years ago
Linked from 1 awesome list
compilerdeep-learninghardwarehigh-level-synthesisneural-networkonnxpythonpyverilogverilog-hdlveriloggen
aolofsson/awesome-opensource-hardwareRelated projects:
| Repository | Description | Stars |
|---|---|---|
 cedergrouphub/chgnet | A neural network potential for atomistic modeling | 258 |
 ahmedfgad/neuralgenetic | Trains artificial neural networks using the genetic algorithm | 241 |
 torch/nngraph | Graphical computation library for building neural network architectures | 299 |
 saschagrunert/nn | A small neural network implementation of the backpropagation algorithm in Haskell | 127 |
 nengo/nengo | A Python library for building and simulating large-scale neural models | 834 |
 xilinx/finn | Fast and scalable neural network inference framework for FPGAs. | 770 |
| ahmedfgad/cnngenetic | Trains CNNs using a genetic algorithm for classification problems where one class per sample is allowed. | 22 |
| ahmedfgad/numpyann | An implementation of artificial neural networks using NumPy | 98 |
 fxsjy/gonn | An implementation of Neural Networks in Go Language | 361 |
 doonny/pipecnn | A tool for accelerating convolutional neural networks on Field-Programmable Gate Arrays (FPGAs) using OpenCL-based hardware design | 1,264 |
 nvdla/hw | The NVDLA project provides hardware designs and tools for building deep learning inference accelerators. | 1,763 |
| xilinx/logicnets | Designs and deploys neural networks integrated with Xilinx FPGAs for high-throughput applications | 83 |
 cornell-brg/pymtl3-net | Generates synthesizable Verilog for on-chip networks with customizable parameters and modular design | 43 |
 akanimax/pro_gan_pytorch | Implementation of a deep learning model for generating high-quality images with improved stability and variation. | 538 |
 mit-han-lab/data-efficient-gans | Improves GAN training efficiency by incorporating data augmentation | 1,286 |