Alternatives and similar repositories for Deploy_Yolov4_On_Ultra96_v2

Users that are interested in Deploy_Yolov4_On_Ultra96_v2 are comparing it to the libraries listed below

• yss9701 / Ultra96-Yolov4-tiny-and-Yolo-Fastest
  Yolov4-tiny and Yolo-Fastest (Tensorflow2) is used to detect vehicles on Ultra96-v2 board, and we support model pruning.
  ☆31Updated 4 years ago
• ModelTC / LPCV2021_Winner_Solution
  ☆28Updated 3 years ago
• xyzxinyizhang / 2019-DAC-System-Design-Contest
  ☆35Updated 6 years ago
• heymesut / SJTU_microe
  A FPGA-based neural network inference accelerator, which won the third place in DAC-SDC
  ☆28Updated 3 years ago
• qixingzhang / SummerSchool2022-Vitis-AI
  Vitis AI Lab: MNIST classifier
  ☆18Updated 3 years ago
• jgoeders / dac_sdc_2021_designs
  ☆20Updated 3 years ago
• AiArtisan / dac_sdc_2022_champion
  ☆21Updated 2 years ago
• Memory-bread / SSD_IN_PYNQ
  a project build the SSD net in pynq-z2
  ☆15Updated 5 years ago
• sefaburakokcu / quantized-yolov5
  Low Precision(quantized) Yolov5
  ☆42Updated 5 months ago
• xbdxwyh / yolov3_fpga_project
  ☆54Updated 2 years ago
• zhexinli / Q-ViT-DeiT
  DeiT implementation for Q-ViT
  ☆24Updated 4 months ago
• PeiyanFlying / SPViT
  ☆52Updated last year
• hpi-xnor / BNext
  Join the High Accuracy Club on ImageNet with A Binary Neural Network Ticket
  ☆70Updated 2 years ago
• ZhangYuQAQ / Hardware-Acceleration-Circuit-Design-of-Object-Detection-Network-Based-on-FPGA
  2020 xilinx summer school
  ☆17Updated 5 years ago
• hqjenny / CoDeNet
  ☆19Updated 4 years ago
• AILearnerLi / DAC-SDC-2020-SEUer
  ☆26Updated 2 years ago
• jgoeders / dac_sdc_2020
  DAC System Design Contest 2020
  ☆29Updated 5 years ago
• zhutmost / neuralzip
  A Out-of-box PyTorch Scaffold for Neural Network Quantization-Aware-Training (QAT) Research. Website: https://github.com/zhutmost/neuralz…
  ☆26Updated 2 years ago
• KwangHoonAn / PACT
  Reproducing Quantization paper PACT
  ☆64Updated 3 years ago
• MrGoriay / pwlu-pytorch
  Unofficial pytorch implementation of Piecewise Linear Unit dynamic activation function
  ☆18Updated 2 years ago
• williamyang4978 / PipeCNN_Winograd
  An OpenCL-Based FPGA Accelerator for Compressed YOLOv2
  ☆37Updated 4 years ago
• jgoeders / dac_sdc_2022_designs
  ☆17Updated 2 years ago
• CAS-CLab / BlockConv
  [TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA
  ☆17Updated 3 years ago
• 1157942086 / CVPR2020_Auxiliary_Quantization
  Training Quantized Neural Networks with a Full-precision Auxiliary Module
  ☆13Updated 5 years ago
• HuangOwen / Quantization-Variation
  [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…
  ☆45Updated 11 months ago
• ptoupas / amd-open-hardware-23
  This repository provides an FPGA-based solution for executing object detection, focusing specifically on the popular YOLOv5 model archite…
  ☆46Updated last year
• jonathan93sh / CNNA
  A generic Convolutional Neural Network (CNN) Accelerator (CNNA) for FPGA
  ☆24Updated 3 years ago
• sefaburakokcu / finn-quantized-yolo
  Low-Precision YOLO on PYNQ with FINN
  ☆33Updated last year
• skmhrk1209 / QuanTorch
  PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"
  ☆58Updated 6 years ago
• liuzechun / AdamBNN
  How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.
  ☆60Updated 4 years ago