yunchaoyang Goto Github PK
Name: Yunchao Yang
Type: User
Bio: AI/ML/DL thinkers and practitioners
Name: Yunchao Yang
Type: User
Bio: AI/ML/DL thinkers and practitioners
blogs and notes, https://yunchaoyang.github.io/blogs/
Notes about modern C++, C++11, C++14 and C++17, Boost Libraries, ABI, foreign function interface and reference cards.
Cassowary constraint solving algorithm in Dart
C++那些事
Modern C++ Cheatsheet
Benchmark comparing various data serialization libraries (thrift, protobuf etc.) for C++
A C++11 Thread pool with 3 priorities
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Folder / directory structure options and naming conventions for software projects
An open-source C++ library developed and used at Facebook.
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
A robot powered training repository :robot:
Heart-Disease-Prediction-using-Machine-Learning Thus preventing Heart diseases has become more than necessary. Good data-driven systems for predicting heart diseases can improve the entire research and prevention process, making sure that more people can live healthy lives. This is where Machine Learning comes into play. Machine Learning helps in predicting the Heart diseases, and the predictions made are quite accurate. The project involved analysis of the heart disease patient dataset with proper data processing. Then, different models were trained and and predictions are made with different algorithms KNN, Decision Tree, Random Forest,SVM,Logistic Regression etc This is the jupyter notebook code and dataset I've used for my Kaggle kernel 'Binary Classification with Sklearn and Keras' I've used a variety of Machine Learning algorithms, implemented in Python, to predict the presence of heart disease in a patient. This is a classification problem, with input features as a variety of parameters, and the target variable as a binary variable, predicting whether heart disease is present or not. Machine Learning algorithms used: Logistic Regression (Scikit-learn) Naive Bayes (Scikit-learn) Support Vector Machine (Linear) (Scikit-learn) K-Nearest Neighbours (Scikit-learn) Decision Tree (Scikit-learn) Random Forest (Scikit-learn) XGBoost (Scikit-learn) Artificial Neural Network with 1 Hidden layer (Keras) Accuracy achieved: 95% (Random Forest) Dataset used: https://www.kaggle.com/ronitf/heart-disease-uci
2D & 3D Matlab codes for the Immersed Boundary Method
An easy to use immersed boundary method in 2D, with full implementations in MATLAB and Python that contains over 60 built-in examples, including multiple options for fiber-structure models and advection-diffusion, Boussinesq approximations, and/or artificial forcing.
Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
Provide all my solutions and explanations in Chinese for all the Leetcode coding problems.
leetcode的练习记录
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
A curated list of awesome Machine Learning projects in Fluid Dynamics
Mastering Multithreading with C++, published by Packt
A simple immersed boundary method solver in matlab.
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.