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Name: Tao WANG
Type: User
Bio: PhD student at HK PolyU
Name: Tao WANG
Type: User
Bio: PhD student at HK PolyU
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Uses publisher APIs to programmatically retrieve scientific journal articles for text mining.
XGBoost + Optuna
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
Implementation of Basic Machine Learning Algorithms on small datasets using Scikit Learn.
The objective of the project is to implement some of the popular methodologies under supervised learning for solving the machine learning problem on Phishing dataset. The main aim of the project is to solve the multiclass classification problem using supervised learning methods like SVM, Neural Networks, Naïve Bayes, Decision Tree and Random Forest
🔥 Reproducibly benchmarking Keras and PyTorch models
the AI-native open-source embedding database
Classification models trained on ImageNet. Keras.
:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints
Colored Radiative Cooling Coatings with Nanoparticles
Concrete Compressive Strength Prediction using Machine Learning
Conductive Heat Transfer
Implementation of Improving the Efficiency of Encoder-Decoder Architecture for Pixel-level Crack Detection. keras with tensorflow backend. https://ieeexplore.ieee.org/document/8938810
:fire: :muscle: Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspection
Crack Detection On Highway Or Pavement Using OpenCV
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".
Crack Analysis Tool in Python (CrackPy) - automatic detection and fracture mechanical analysis of (fatigue) cracks using digital image correlation
[ECCV W 2022] "CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks" by Shreyas Kulkarni, Shreyas Singh, Dhananjay Balakrishnan, Siddharth Sharma, Saipraneeth Devunuri, Sai Chowdeswara Rao Korlapati.
Multiscale Attention Based Efficient U-Net for Crack Segmentation, segments a RGB image into 2 classes crack and non-crack, this method obtained SOTA results on Crack500 dataset
计算机自学指南
CS231n assignment
CS231n编程作业
Harvard CS50 Python — 2022 Solutions
Harvard CS50x — 2022 Solutions
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.