Documentation for XiangShan

AdderNet ResNet20 for cifar10 written in SpinalHDL

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Quantization-aware training in Pytorch

PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.

This is Max's blog, something interesting in it.

Distance-IoU Loss into YOLO v3

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

YOLOv3 in PyTorch > ONNX > CoreML > iOS

Scalable systolic array-based matrix-matrix multiplication implemented in Vivado HLS for Xilinx FPGAs.

Minimal PyTorch implementation of YOLOv3

Repo to hold HammerBlade PyTorch port. Based on PyTorch v1.4.0

PyTorch tutorials.

Datasets, Transforms and Models specific to Computer Vision

model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolut…

Accelerating-Quantized-CNN-Inference-on-FPGA(RTL)

BISMO: A Scalable Bit-Serial Matrix Multiplication Overlay for Reconfigurable Computing

Binarized Neural Network (BNN) for pytorch

Implementing Searching for MobileNetV3 paper using Pytorch

HLS based Deep Neural Network Accelerator Library for Xilinx Ultrascale+ MPSoCs