Machine Learning algorithms implementation.
| ML Algorithms |
|---|
KNN |
K-Means-Clustering |
SVM (MultiClass) |
Perceptron (MultiClass) |
PassiveAggresive (MultiClass) |
Neural Network
For each of the different algorithms, detailed execution instructions are attached.
The Algorithms - Python All algorithms implemented in Python (for education) These implementations are for learning purposes only. Therefore they may
Documentation Neostox doesnt have an API Support, so this is a little selenium code to automate strategies How to use Clone this repository and then m
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Distributed Algorithms Playground for reimplementing and experimenting with algorithms for distributed computing. Usage Running the code for Ring-AllR
SortingVisualiser Sorting Algorithm Visualiser using pygame Features Visualisation of some traditional sorting algorithms like quicksort and bubblesor
Automata Copyright 2016-2021 Caleb Evans Released under the MIT license Automata is a Python 3 library which implements the structures and algorithms
Best Positions Imagine that you have a favorite team, and you want to know until wich position your team can reach With this algorithm you can see all
Romanian-problem-using-Astar-and-GBFS Using A * search algorithm and GBFS search algorithm to solve the Romanian problem Romanian problem: The agent i
Kinematic Bicycle Model Abstract A python library for the Kinematic Bicycle model. The Kinematic Bicycle is a compromise between the non-linear and li
Nature-inspired algorithms are a very popular tool for solving optimization problems. Numerous variants of nature-inspired algorithms have been develo
This is an Airport Scheduling Time table implemented using Genetic Algorithm In this The scheduling is performed on the basisi of that no two Air planes are arriving or departing at the same runway a
crab-knn implementation of the KNN algorithm in Python applied to biometrics data of purple rock crabs (leptograpsus variegatus) to classify the sex o
BME individual project - NEAT based self-driving car This repository is an individual project made at BME with the topic of self-driving car simulator
Fliscopt FLIght SCheduling OPTimization 🛫 or fliscopt is a simple optimization library for flight scheduling and related problems in the discrete dom
path-finding-algorithm-visualizer ~ click on the grid to place the starting block and then click elsewhere to add the end block ~ click again to place
Silver Trading Algorithm This project was done in the context of the Applied Algorithm Trading Course (FINM 35910) at the University of Chicago. Motiv
Demo-of-MCMC These files are based on the class materials of AEROSP 567 taught by Prof. Alex Gorodetsky at University of Michigan. Author: Hung-Hsiang
Distribution System Model Calibration Algorithms The code in this library was developed by Sandia National Laboratories under funding provided by the
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
Algorithmic trading backtest and optimization examples using order book imbalances. (bitcoin, cryptocurrency, bitmex)
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