Zhengyang Feng

pytorch-auto-drive. PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help

DST-CBC. Implementation of our Pattern Recognition paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"

import_magician. Voldemort's Python import helper

design_a_computer. Design a computer with VHDL (计算机组成原理课设)

Agile. 软件工程实验 (Vue + Flask, 有单元测试)

hex_platform. Hex platform built by qt

pytorch_auto_drive_ros. Python

detr. End-to-End Object Detection with Transformers

LaneATT. Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)

convert_torch_to_pytorch. Convert torch t7 model to pytorch model and source.

benchmarks_website. Boxy-datatset.com and unsupervised-llamas.com

github-readme-stats. :zap: Dynamically generated stats for your github readmes

Cryptology_Notes. Implementations of algorithms mentioned in class. (DES, RSA, a variation of MD5)

awesome-lane-detection. A paper list of lane detection.

cifar10. PyTorch exercise