Xilinx / ResNet50-PYNQLinks
Quantized ResNet50 Dataflow Acceleration on Alveo, with PYNQ
☆59Updated 4 years ago
Alternatives and similar repositories for ResNet50-PYNQ
Users that are interested in ResNet50-PYNQ are comparing it to the libraries listed below
Sorting:
- ☆65Updated 5 years ago
- An HLS based winograd systolic CNN accelerator☆54Updated 4 years ago
- Vitis HLS Library for FINN☆213Updated 3 weeks ago
- FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations☆97Updated 4 years ago
- An LSTM template and a few examples using Vivado HLS☆47Updated last year
- HLS implemented systolic array structure☆41Updated 8 years ago
- A collection of tutorials for the fpgaConvNet framework.☆48Updated last year
- ☆72Updated 2 years ago
- PyTorch implementation of DiracDeltaNet from paper Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs☆33Updated 6 years ago
- Train and deploy LUT-based neural networks on FPGAs☆106Updated last year
- ☆71Updated 5 years ago
- ☆35Updated 6 years ago
- Training and Implementation of a CNN for image classification with binary weights and activations on FPGA with HLS tools☆53Updated 7 years ago
- A VGG accelerator by System Verilog on DE1-SoC FPGA. Row Stationary (RS) dataflow is adopted, and computations are based on fixed point 1…☆34Updated 6 years ago
- FPGA and GPU acceleration of LeNet5☆35Updated 6 years ago
- An FPGA Accelerator for Transformer Inference☆93Updated 3 years ago
- Convolutional Neural Network Using High Level Synthesis☆90Updated 5 years ago
- Library of approximate arithmetic circuits☆61Updated 3 weeks ago
- Example of Tiny YOLO deployed using Xilinx BNN-PYNQ.☆31Updated 6 years ago
- ☆72Updated 7 years ago
- CHARM: Composing Heterogeneous Accelerators on Heterogeneous SoC Architecture☆162Updated this week
- This project implements a convolution kernel based on vivado HLS on zcu104☆36Updated 5 years ago
- FPGA-based neural network inference project for 2020 DAC System Design Contest☆114Updated 4 years ago
- Performance and resource models for fpgaConvNet: a Streaming-Architecture-based CNN Accelerator.☆33Updated last year
- PolyLUT is the first quantized neural network training methodology that maps a neuron to a LUT while using multivariate polynomial functi…☆55Updated last year
- ☆32Updated last year
- FPGA-based hardware accelerator for Vision Transformer (ViT), with Hybrid-Grained Pipeline.☆122Updated last year
- The second place winner for DAC-SDC 2020☆99Updated 3 years ago
- A generic Convolutional Neural Network (CNN) Accelerator (CNNA) for FPGA☆28Updated 4 years ago
- Deep Learning Accelerator Based on Eyeriss V2 Architecture with custom RISC-V extended instructions☆206Updated 5 years ago