Make Sure the dataset file "spamData.mat" is in the folder
Environment: Python --version >= 3.7 Third Party: numpy, matplotlib, math, scipy.io
Interactive: (1) Open Anaconda Prompt or Python environment prompt (2) Navigate to ..\spam\src\
Description: This code implemented classifiers for Spam classification using four methods and then find the error rates: Q1 Beta-Binomial Naïve Bayes, Q2 Gaussian Naïve Bayes, Q3 Logistic Regression with L2 regularization, Q4 K-Nearest Neighbors.
causal-learn: Causal Discovery for Python Causal-learn is a python package for causal discovery that implements both classical and state-of-the-art ca
Tic-tac-toe Tic-tac-toe game with minmax algorithm which is a research algorithm his objective is to find the best move to play by going through all t
Distributed Algorithms Playground for reimplementing and experimenting with algorithms for distributed computing. Usage Running the code for Ring-AllR
Photometric-Stereo A python implementation of the Basic Photometric Stereo Algorithm Result Usage run Photometric_Stereo.py Code Tree |data #原始数据，tga格
Exam Schedule Generator using Genetic Algorithm Requirements Use any kind of crossover Choose any justifiable rate of mutation Use roulette wheel sele
A gym-like classical control benchmark for evaluating the robustnesses of control and reinforcement learning algorithms.
Search Algorithms Overview In this project, we want to solve a card game with three search algorithms. In this card game, we have to sort our cards by
The N Queen is the problem of placing N chess queens on an N×N chessboard so that no two queens attack each other.
Algorithmic trading backtest and optimization examples using order book imbalances. (bitcoin, cryptocurrency, bitmex)
🧬 Performant Evolutionary Algorithms For Python with Ray support
GNAT GNAT is NOT Algorithmic Trading! GNAT is a financial tool with two goals in
Silver Trading Algorithm This project was done in the context of the Applied Algorithm Trading Course (FINM 35910) at the University of Chicago. Motiv
One way of minimizing the size of an image is to simply reduce the number of bits you use to represent each pixel.
Harvest is a Python based framework providing a simple and intuitive framework for algorithmic trading. Visit Harvest's website for details, tutorials
Pigment The problem of partitioning up a skincare regime into parts such that each part does not interfere with itself is equivalent to the minimal cl
Description Implements (high-dimenstional) clustering algorithm described in https://arxiv.org/pdf/1804.02624.pdf Dependencies python3 pytorch (=0.4)
PathPlanningAlgorithms It is a platform that implements some path planning algorithms. Main dependence: python3.7, opencv4.1.1.26 (for image show) Tip
Path Planning using Neural A* Search (ICML 2021) This is a repository for the following paper: Ryo Yonetani*, Tatsunori Taniai*, Mohammadamin Barekata
Policy Gradient Algorithms From Scratch (NumPy) This repository showcases two policy gradient algorithms (One Step Actor Critic and Proximal Policy Op
Search-py A collection of search algorithms for teaching and experimenting. Non-adversarial Search There’s a heavy separation of concerns which leads
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