zggg1p

A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-Neu

Inspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide First-layer Kernel is used to extract features to classify the health conditions.

Bing-Dwen-Dwen-python

用python画冰墩墩！

fault-detect

This project is to classify the state of the welding chip. Considering the complexity of the problem, only two classifications are carried out, namely normal and abnormal. Through the test of fully connected network, convolutional neural network and Fine-tuning Of Google Net, we found that fine-tuning of Google Net had the best effect, reaching the highest score of 70 out of a full score of 80.

GenAI_LLM_timeline

ChatGPT, GenerativeAI and LLMs Timeline

i-Car-third-party-personalized-car-customization-platform

上海市计算机应用能力大赛一等奖、**大学生计算机设计大赛二等奖 本作品（i-car第三方个性化汽车定制平台）是基于随着社会生产力和科技水平的不断提高，消费需求正日益呈现个性化和多元化的趋势以及现有购车方式或平台不足以满足消费者需求的现状所提出的有效尝试与解决方案。本作品的C2B汽车个性化定制服务打破了传统的购车模式，填补了高端产品第三方定制平台的空白。根据用户信息，分析用户需求，分析出用户在选车、定制时的习惯与喜好，不断优化定制流程和产品，为用户提供更加智能化的选配体验。同时为商家提供销售数据便于商家进一步制定销售计划。 主要特色、功能在于模型展示；智能推荐；生成付款二维码；自动发送购车合同（以邮件形式）；动态的数据可视化；销量预测。

MINIST-Dataset-Classification

This task focuses on training the MINIST dataset to get a feel for the differences between fully connected networks, neural networks, and the effects of different activation functions, training techniques (BN, Dropout, and L2 regularization) on the network. 本次任务主要是通过对MINIST数据集进行训练来感受全连接网络、神经网络的差异，以及不同激活函数、训练技巧（BN，Dropout以及L2正则化）对网络的影响。

ROS-based-autonomous-navigation-and-excavation-control-for-excavators

Spaced-keyboards

A funny project. This project uses the library function in CZONE to realize the click effect by recognizing the distance between two fingers. It also combines the knowledge of opencv to implement the keyboard function. 本项目使用CZONE中的库函数，通过识别两手指间的距离来实现点击效果。同时结合了opencv的相关知识，实现了键盘的功能。

sun0225SUN

Beauty is the first productive force !

zggg1p

My personal repository

zggg1p/ROS-based-autonomous-navigation-and-excavation-control-for-excavators

zggg1p/MINIST-Dataset-Classification

This task focuses on training the MINIST dataset to get a feel for the differences between fully connected networks, neural networks, and the effects of different activation functions, training techniques (BN, Dropout, and L2 regularization) on the network. 本次任务主要是通过对MINIST数据集进行训练来感受全连接网络、神经网络的差异，以及不同激活函数、训练技巧（BN，Dropout以及L2正则化）对网络的影响。

zggg1p/Bing-Dwen-Dwen-python

用python画冰墩墩！

zggg1p/fault-detect

This project is to classify the state of the welding chip. Considering the complexity of the problem, only two classifications are carried out, namely normal and abnormal. Through the test of fully connected network, convolutional neural network and Fine-tuning Of Google Net, we found that fine-tuning of Google Net had the best effect, reaching the highest score of 70 out of a full score of 80.

zggg1p/Spaced-keyboards

A funny project. This project uses the library function in CZONE to realize the click effect by recognizing the distance between two fingers. It also combines the knowledge of opencv to implement the keyboard function. 本项目使用CZONE中的库函数，通过识别两手指间的距离来实现点击效果。同时结合了opencv的相关知识，实现了键盘的功能。

zggg1p/sun0225SUN

Beauty is the first productive force !

zggg1p/awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

zggg1p/CaDDN

Categorical Depth Distribution Network for Monocular 3D Object Detection (CVPR 2021 Oral)

zggg1p/CoCoPIE-ModelZoo

zggg1p/CSD-SSD

zggg1p/CVPR2022-Paper-Code-Interpretation

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

zggg1p/DA_visualization

[CVPR2021] "Visualizing Adapted Knowledge in Domain Transfer". Visualization for domain adaptation. #explainable-ai

zggg1p/dd3d

Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.

zggg1p/DDMP-3D

[CVPR2021] Pytorch implementation of Depth-conditioned Dynamic Message Propagation forMonocular 3D Object Detection.

zggg1p/ganhacks

starter from "How to Train a GAN?" at NIPS2016

zggg1p/GDN

Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)

zggg1p/ICCV2021-Paper-Code-Interpretation

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

zggg1p/meta-transfer-learning

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

zggg1p/MonoCon

Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection (AAAI'22)

zggg1p/MonoFlex

Released code for Objects are Different: Flexible Monocular 3D Object Detection, CVPR21

zggg1p/netron

Visualizer for neural network, deep learning, and machine learning models

zggg1p/PCS-FUDA

Official implementation of PCS in essay "Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation"

zggg1p/plotly.py

The interactive graphing library for Python (includes Plotly Express) :sparkles:

zggg1p/pycls

Codebase for Image Classification Research, written in PyTorch.

zggg1p/rnn_in_forecasting_tool_wear

Maybe the 1st tool wear forecasting by DL

zggg1p/RTS3D

RTS3D: Real-time Stereo 3D Detection from 4D Feature-Consistency Embedding Space for Autonomous Driving

zggg1p/TJ-Graduation-Project-2021

Tongji Univ. Undergraduate Graduation Project 2021. | 🎉含: 同济er毕设答辩PPT模板

zggg1p/YOLOF

You Only Look One-level Feature (YOLOF), CVPR2021, Detectron2

zggg1p/yolor

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

zggg1p/yolov7

🔥🔥🔥🔥 YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥