Pinned Repositories
benchmarking-gnns
Repository for benchmarking graph neural networks
brevitas
Brevitas: quantization-aware training in Pytorch
distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
EPQuant
This repository contains the implementation of our paper: EPQuant: An Efficient Quantization Methodology for Graph Neural Networks with Enhanced Product Quantization.
fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
github-slideshow
A robot powered training repository :robot:
GNNPapers
Must-read papers on graph neural networks (GNN)
model-compression
model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolution structure；4、batch-normalization folding for quantization)
pytorch-binary-converter
Turning float tensors to binary tensors according to IEEE-754 standard.
SGQuant
SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization
Lyun-Huang's Repositories
Lyun-Huang/EPQuant
This repository contains the implementation of our paper: EPQuant: An Efficient Quantization Methodology for Graph Neural Networks with Enhanced Product Quantization.
Lyun-Huang/pytorch-binary-converter
Turning float tensors to binary tensors according to IEEE-754 standard.
Lyun-Huang/SGQuant
SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization
Lyun-Huang/benchmarking-gnns
Repository for benchmarking graph neural networks
Lyun-Huang/brevitas
Brevitas: quantization-aware training in Pytorch
Lyun-Huang/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
Lyun-Huang/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Lyun-Huang/github-slideshow
A robot powered training repository :robot:
Lyun-Huang/GNNPapers
Must-read papers on graph neural networks (GNN)
Lyun-Huang/model-compression
model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolution structure；4、batch-normalization folding for quantization)
Lyun-Huang/MVision
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
Lyun-Huang/Neural-Networks-on-Silicon
This is a collection of works on neural networks and neural accelerators.
Lyun-Huang/pytorch-quantization-demo
A simple network quantization demo using pytorch from scratch.
Lyun-Huang/torchpercentile
Percentile computation for pytorch
Lyun-Huang/XiangShan
Open-source high-performance RISC-V processor