# Pytorch_dev

**Repository Path**: codeinLinXu/Pytorch_dev

## Basic Information

- **Project Name**: Pytorch_dev
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-10-19
- **Last Updated**: 2021-10-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# pytorch_dev
This is my deep learning projects with pytorch


**sample_nets**: I implemented the network directly using pytorch.
-Pyramid net implement
- ResNet implement
- Spatial Transformer net implement

**sleep_detect**: Implement Android-only applications that detect drowsy drivers
- reference to my blog: https://ys-cs17.tistory.com/24
 
**top_detect**: Real-time deep learning with top detection implement
- EfficientDet ver
- SSD-lite ver
- YOLOv3 ver
 
**tutorials**: It's my playground

**facial_age_classifier**: Implement faicial age classifier
- ResNet ver
- EfficientNet ver
- data from kaggle facial age data

**car_distance_recognition**: Implement car distance recognition on 2d images using yolov5
- Must run with python 3.8 version


**Landmark_classifier**: Implement Landmark classifier on DACON dataset using efficientnet
- Data by https://www.dacon.io/competitions/official/235585/overview/