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awesome-chatgpt-prompts-zh

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

awesome-knowledge-distillation

Awesome Knowledge Distillation

awesome-knowledge-distillation-1

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

awesome-vit

crack_detection_cnn_masonry

This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning" by D. Dais, İ. E. Bal, E. Smyrou, and V. Sarhosis published in "Automation in Construction".

deep-learning

detvisgui

This is a GUI for easily visualizing detection results .

fcn_for_crack_recognition

An application FCN for crack recogntion using tensorflow

flexible-yolov5

More readable and flexible yolov5 with more backbone(resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer) and (cbam，dcn and so on), and tensorrt

hdcb-net

HDCB-Net

imagestitching

Conducts image stitching upon an input video to generate a panorama in 3D

machine-learning-toy-code

《机器学习》（西瓜书）代码实战

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

mmdeploy

OpenMMLab Model Deployment Framework

mmdetection2.0_visualize

It is a simple tool based on mmdetection2.0. The tool is used for visualize test result produced by mmdetection 2.0, including drawing PR curves and loss curves.（PR曲线绘制，loss曲线绘制）

mmdetection_visualize

visualize training result for mmdetection 訓練文件可視化, PR curve绘制， F1-score计算

motion-flow-syn

Motion flow and corresponding blurry image synthesis. Training data generation for "From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur (CVPR'17)".

paddlets

PaddleTS - PaddlePaddle-based Time Series Modeling in Python

paper-reading

深度学习经典、新论文逐段精读

pumpkin-book

《机器学习》（西瓜书）公式详解

reco

The implementation of "Bootstrapping Semantic Segmentation with Regional Contrast".

repdistiller

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

rust-segmentation

se_densenet

This is a SE_DenseNet which contains a senet (Squeeze-and-Excitation Networks by Jie Hu, Li Shen, and Gang Sun) module, written in Pytorch, train, and eval codes have been released.

sliding-window

sliding window

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

structural_inspection_main

Collection of works in my PhD at Virginia Tech, mostly focused on computer vision and machine learning applications in structural inspection and structural health monitoring.

surface-distance

Library to compute surface distance based performance metrics for segmentation tasks.

tutorials

机器学习相关教程