Jiwei Zhao's starred repositories
resumake.io
📝 A website for automatically generating elegant LaTeX resumes.
DeepFaceLab
DeepFaceLab is the leading software for creating deepfakes.
openai-translator
基于 ChatGPT API 的划词翻译浏览器插件和跨平台桌面端应用 - Browser extension and cross-platform desktop application for translation based on ChatGPT API.
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
Spatio-temporal-Clustering
使用numpy实现的聚类算法(包括时空聚类算法)
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。
plotly_matlab
Plotly Graphing Library for MATLAB®
mittelmann-plots
Visualizations of Mittelmann benchmarks
Clustering
Clustering / Subspace Clustering Algorithms on MATLAB
ClusteringDirectionCentrality
A novel Clustering algorithm by measuring Direction Centrality (CDC) locally. It adopts a density-independent metric based on the distribution of K-nearest neighbors (KNNs) to distinguish between internal and boundary points. The boundary points generate enclosed cages to bind the connections of internal points.
pso-clustering
PSO-Clustering algorithm [Matlab code]
constrained_clustering
A MATLAB project containing many popular / existing constrained clustering algorithms
spatialcluster
spatially-constrained clustering in R
master-thesis
A Branch-and-Cut based Pricer for the Capacitated Vehicle Routing Problem
pyCombinatorial
A library to solve the TSP (Travelling Salesman Problem) using Exact Algorithms, Heuristics and Metaheuristics : 2-opt; 2.5-opt; 3-opt; 4-opt; 5-opt; 2-opt Stochastic; 2.5-opt Stochastic; 3-opt Stochastic; 4-opt Stochastic; 5-opt Stochastic; Ant Colony Optimization; Bellman-Held-Karp Exact Algorithm; Branch & Bound; BRKGA (Biased Random Key Genetic Algorithm); Brute Force; Cheapest Insertion; Christofides Algorithm; Clarke & Wright (Savings Heuristic); Concave Hull Algorithm; Convex Hull Algorithm; Elastic Net; Extremal Optimization; Farthest Insertion; Genetic Algorithm; GRASP (Greedy Randomized Adaptive Search Procedure); Greedy Karp-Steele Patching; Guided Search; Hopfield Network; Iterated Search; Karp-Steele Patching; Multifragment Heuristic; Nearest Insertion; Nearest Neighbour; Random Insertion; Random Tour; Scatter Search; Simulated Annealing; SOM (Self Organizing Maps); Space Filling Curve (Hilbert); Space Filling Curve (Morton); Space Filling Curve (Sierpinski); Stochastic Hill Climbing; Sweep; Tabu Search; Truncated Branch & Bound; Twice-Around the Tree Algorithm (Double Tree Algorithm); Variable Neighborhood Search.
Clustering-in-Python
Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.