Airikuh

Airikuh's Stars

• digoal/blog

  Opensource,Database,AI,Business,Minds. git clone --depth 1 https://github.com/digoal/blog

  Language:PLpgSQL8.1k6641061.9k

• remzi-arpacidusseau/ostep-code

  Code from various chapters in OSTEP (http://www.ostep.org)

  Language:C3.4k6681.3k

• remzi-arpacidusseau/ostep-homework

  Language:Python2.1k1928999

• careercup/CtCI-6th-Edition-cpp

  Cracking the Coding Interview 6th Ed. C++ Solutions

  Language:C++1.4k7111503

• devrimgunduz/pagila

  PostgreSQL Sample Database

  Language:PLpgSQL8542420306

• black-shadows/Cracking-the-Coding-Interview

  Learn how to uncover the hints and hidden details in a question, discover how to break down a problem into manageable chunks, develop techniques to unstick yourself when stuck, learn (or re-learn) core computer science concepts, and practice on 189 interview questions and solutions.

  Language:C++61271220

• Tracktion/pluginval

  Cross platform plugin testing and validation tool

  Language:C++386157254

• Roen-Ro/CircularBuffer

  circular buffer, circular queue, cyclic buffer, ring buffer

  Language:C1325034

• codefinite-vri/Data-Structures-And-Algorithms

  These repository contains all the important codes in Data Structures and Algorithms spanning across different areas like Recursion, Stacks, Queues, Linked Lists, Arrays, Pointers, Graphs, Trees, Sorts, Search, Hashing, etc.

  Language:C773131

• penguin1214/classification

  Three-layer BP neural network used to classify Iris dataset.

  Language:Python402016

• ShaishavJogani/Neural-Network-Handwritten-Digit-classification

  Two hidden layer Neural Network with 99% Accuracy. Dropout Regularization scheme is also implemented and available as an option. Please read the report for full implemantation Description.

  Language:Python8002

• ybenzaki/kmeans-iris-dataset-python-scikit-learn

  This repo is an example of implementation of Clustering using K-Means algorithm. The source code is written in Python 3 and leava

  Language:Jupyter Notebook82011

• srilakshmi-thota/IRIS-DATASET-ANALYSIS-USING-NEURAL-NETWORK

  Neural Network with functions for forward propagation, error calculation and back propagation is built from scratch and is used to analyse the IRIS dataset.

  Language:Python7201

• 61Duke/genetic-algorithm-neural-network

  Classification model prediction, neural network optimization based on genetic algorithm --- iris dataset

  Language:Python52

• FlaviusMiron/IRIS_Dataset_Classification

  Classification of the IRIS dataset with a neural network and a soft-max regression made from scratch.

  Language:Python5100

• tanvirtin/mnist-ann

  An Artificial Neural Network with weight decay created using python using the Numpy library which can read handwritten digits. Uses K-Folds cross validation for training the Neural Network.

  Language:Python4301

• polasha/Basic-Pytorch-Neural-Network-with-Iris-dataset

  The main goal is to develop a model capable of classifying an iris plant based on four features. This is a multi-class classification where each sample can belong to ONE of 3 classes (Iris setosa, Iris virginica or Iris versicolor). The network will have 4 input neurons (flower dimensions) and 3 output neurons (scores). Our loss function will compare the target label (ground truth) to the corresponding output score

  Language:Python3100

• VictorMotogna/IrisLogisticRegression

  Iris Dataset Logistic Regression - scikit learn version & from scratch

  Language:Python3101

• wiem-heni/Neural-Network-Iris-SpeciesClassification

  We used the “Iris Species” dataset from Fisher's classic 1936 paper. This dataset includes 3 Iris species (Iris_Setosa, Iris_Versicolor and Iris_Virginica) with 50 samples for each type.

  Language:Python310

• bissessk/Stock-Trading-Management-Database-Application

  Built a stock trading management application that involved designing/building a database and implementing a web front-end. Users can interact with other users as well as analyze their trades. The application was run on a Gauss server and sample data is provided to test the application.

  Language:Python2100

• MPranav1/Prediction_USL

  This script employs K-Means clustering on the Iris dataset, utilizing Pandas, Matplotlib, and scikit-learn for efficient data handling, visualization, and machine learning.

  Language:Python20

• 9Tuckm31/QR-Stock-Controller-V3

  QR stock controller using WX Python and Microsoft SQL Server. Unfinished.

  Language:Python100

• davide123954/Detective_Program_Python

  This program is based on the Python language and MySQL database. I created 2 tables in my database where I enter personal details of the criminals such as name, id, phone, address, photo. In this program there is a facial recognition if a particular criminal has already been inside my system.

  Language:Python110

• deryacakir1/IrisDatasetClustering

  Clustering process with K-Means Algorithm

  Language:Python110

• harrydaihaolin/Stock-Trading-Server

  a trial stock trading server project

  Language:Python1200

• prateek27/neural_networks_flower_recogniser

  Flower Recogniser on IRIS database. Requirements - NumPy , SkLearn for Dataset , Theano

  Language:Python1413

• shubhamsharma04/Multi_Layer_Neural_Network

  A python script to run Multi Layer Neural Network to identify handwritten digits

  Language:Python1000

• Tehreem404/Programming_II_A2

  Pointers and Arrays (Shallow/Deep Copy) Swapping Rows and Columns

  Language:C1100

• Tra511001/PointerLinkedQueue

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• yyhpys/os-a-plus-project

  Automatically exported from code.google.com/p/os-a-plus-project

  Language:C1000