mingtzge Goto Github PK

-txt-

转换bag包转成的txt的格式，增强可读性

2019-ccf-bdci-ocr-mczj-fake_data_generator

2019CCF-BDCI大赛 OCR赛题第一名 天晨破晓团队 仿真数据生成方案源码

2019-ccf-bdci-ocr-mczj-ocr-identificationidelement

2019CCF-BDCI大赛 最佳创新探索奖获得者 基于OCR身份证要素提取赛题冠军 天晨破晓团队 赛题源码

bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

ccf-bdci-identificationcard

ckpt_save

2019CCF-BDCI大赛 OCR赛题第一名 天晨破晓团队 文字识别模型baseline

coolweather

This is an android development exercise

examples

Pre-built mlpack models

image_segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

learn-record

这是我的学习过程中对于每个知识点的总结和相关资料的存档

loftr

Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021

maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

mingzhi

mivecc_with_drl

This is a Multi-intersection Vehicular Cooperative Control (MiVeCC) scheme to enable cooperation among vehicles in a 3*3 unsignalized intersections. we proposed a algorithm combined heuristic-rule and two-stage deep reinforcement learning. The heuristic-rule achieves vehicles across the intersections without collisions. Based on the heuristic-rule, DDPG is used to optimize the collaborative control of vehicles and improve the traffic efficiency. Simulation results show that the proposed algorithm can improve travel efficiency at multiple intersections by up to 4.59 times without collision compared with existing methods.

ml-agents

Unity Machine Learning Agents Toolkit

models

Models and examples built with TensorFlow

models_data

2019CCF-BDCI大赛 OCR赛题第一名 天晨破晓团队 去水印网络CGAN模型baseline

nlp_course

YSDA course in Natural Language Processing

pve-mcc_for_unsignalized_intersection

Aiming at the problem of the traffic efficiency of intelligent networked vehicles passing through unsignalized-intersection in the future smart cities, this project proposed a Progressive Value-expectation Estimation Multi-agent Cooperative Control (PVE-MCC) algorithm based on reinforcement learning. The algorithm takes the intelligent networked vehicles as the research object and designed the reward function for the optimization objective from the three aspects of traffic efficiency, safety, and comfort.

pysot

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

reinforcement-learning-2nd-edition-by-sutton-exercise-solutions

Solutions of Reinforcement Learning, An Introduction

rl-adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

td3

Author's PyTorch implementation of TD3 for OpenAI gym tasks

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

tutorials

PyTorch tutorials.