jimmylauren Goto Github PK

followers: 9.0 following: 69.0 repos: 40.0 gists: 0.0

Name: JimmyLauren

Type: User

Location: Shenzhen,Guangdong,China

JimmyLauren's Projects

caffe-augmentation

:zap: Caffe real-time data augmentation on-the-fly!!

Forked from https://github.com/runhang/caffe-ssd-windows. modified caffe ssd code. new functions added. 1:modify files to calculate precisions and recalls for each class, plus their tp fp and fn. 2:modify files to realize label projection, which could be used in situations that need to evaluate old models that has old labels. (caution: the number of old labels must bigger than the number of new labels)

caffe_yolov3_windows

Caffe implementation for yolov3, forked from https://github.com/eric612/Caffe-YOLOv3-Windows

caffeanalysis

Analysis caffe source code

cc5.0

CC for Caffe，基于Caffe改造的深度学习框架，为Caffe添加基于C++的网络构建、友好的Train和Inference框架

cplusplusthings

C++那些事

cpp-learning

This repo contains my roadmap for learning C++ from zero to hero.

cpp_primer_practice

搞定C++:punch:。C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。

cppguide

C/C++学习，后端开发进阶指南。

darknet

YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)

deeplearning-500-questions

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

defaultboxgenerationusingkmeans

generate default box settings using kmeans

design_patterns

图说设计模式

docker-depth-learning

docker的深入了解与掌握

easyopenpose

OpenPose的简单实现

entroy_diversity

python implementation of paper "Fine-tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally"

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

learning_mind_map

2021年【思维导图】盒子，C/C++，Golang，Linux，云原生，数据库，DPDK，音视频开发，TCP/IP，数据结构，计算机原理等

lightweight-human-pose-estimation.pytorch

Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.