duguyue100

acm-training

It's for my own ACM training and code backup.

minesweeper

A python Minesweeper with interfaces for RL.

pyaer

Low-level Python APIs for Accessing Neuromorphic Devices.

macman

Some handy tools for Mac OS X Terminal.

NSC-GPU-GUIDE

Guide for NSC GPU usage

.vim

My VIM config --- actually my dotfiles.

alpha-nvim

a lua powered greeter like vim-startify / dashboard-nvim

cochlea_utils

css-exercises

duguyue100

My public Github profile

duguyue100.github.io

My main website hosting

eagerpy

PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code

event-based_vision_resources

learn2learn

A PyTorch Library for Meta-learning Research

linuxman

Some handy tools for Linux command line (primarily for Ubuntu)

morning-paper-challenge

A self morning challenge

openeb

Open source SDK to create applications leveraging event-based vision hardware equipment

PaddleOCR2Pytorch

PaddleOCR inference in PyTorch. Converted from [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)

pyaer-demo

pyAER Demos

python-ogs

A Python API Wrapper for the OGS API

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Examples for classification, object detection, segmentation, embedding networks and more. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

rikon

My personal file collectors and backup service

SiamDW

Deeper and Wider Siamese Networks for Real-Time Visual Tracking

SimCLR

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

simclr-1

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

sos-lang

Shell on Steroids

swig

SWIG is a software development tool that connects programs written in C and C++ with a variety of high-level programming languages.

symbols-outline.nvim

A tree like view for symbols in Neovim using the Language Server Protocol. Supports all your favourite languages.

Ultra-Light-Fast-Generic-Face-Detector-1MB

💎 一款超轻量级通用人脸检测模型（模型文件大小仅1MB，320x240输入下计算量仅90MFlops）适用于边缘计算设备、移动端设备以及PC

v2e

V2E: From video frames to DVS events