mlzxy / caffe-fpga-opencl
☆35Updated 8 years ago
Alternatives and similar repositories for caffe-fpga-opencl:
Users that are interested in caffe-fpga-opencl are comparing it to the libraries listed below
- ☆119Updated 7 years ago
- ☆39Updated 7 years ago
- CaffePresso: An Optimized Library for Deep Learning on Embedded Accelerator-based platforms☆88Updated 5 months ago
- Ristretto: Caffe-based approximation of convolutional neural networks.☆30Updated 6 years ago
- OpenCL Labs for PAPAA Summer School 2016 Edition☆46Updated 7 years ago
- ☆143Updated 6 years ago
- Caffe implementation of accurate low-precision neural networks☆117Updated 6 years ago
- ☆45Updated 5 years ago
- Pretrained VGG16 neural net in C language☆49Updated 3 years ago
- This is a really simple compression of Caffe Model☆24Updated 7 years ago
- Example code and instructions on getting Tensorflow Lite running on a Xilinx Zynq☆49Updated 7 years ago
- A script to convert floating-point CNN models into generalized low-precision ShiftCNN representation☆56Updated 7 years ago
- Implementation of Ternary Weight Networks In Caffe☆63Updated 8 years ago
- A curated list of Deep Learning hardware, cycle/memory optimisation techniques☆40Updated 8 years ago
- Ristretto: Caffe-based approximation of convolutional neural networks.☆290Updated 5 years ago
- ☆83Updated 4 years ago
- ☆10Updated 8 years ago
- BinaryNets in TensorFlow with XNOR GEMM op☆156Updated 7 years ago
- XNOR-Net inference on low-power IGLOO FPGA using Chisel☆9Updated 7 years ago
- tutorial to optimize GEMM performance on android☆51Updated 9 years ago
- The 1st place winner's source codes for DAC 2018 System Design Contest, FPGA Track☆89Updated 6 years ago
- Added quantization layer into caffe (support a coarse level fixed point simulation)☆22Updated 8 years ago
- A discussion group on Open Source Deep Learning Accelerator, with technical reports and potential hardware/software issues.☆140Updated 7 years ago
- Design contest for DAC 2018☆17Updated 6 years ago
- training ternary neural networks☆13Updated 7 years ago
- Simple pruning example using Caffe☆33Updated 7 years ago
- Implementing CNN code in CUDA and OpenCL to evaluate its performance on NVIDIA GPUs, AMD GPUs, and an FPGA platform.☆54Updated 7 years ago
- Training deep neural networks with low precision multiplications☆63Updated 9 years ago
- Implementation for Trained Ternary Network.☆108Updated 8 years ago
- FireSim-NVDLA: NVIDIA Deep Learning Accelerator (NVDLA) Integrated with RISC-V Rocket Chip SoC Running on the Amazon FPGA Cloud☆161Updated 3 years ago