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This repository dives into the basics of a Recurrent Neural Netowrk. It contains an example of a RNN network using Keras API to predict: (i). A single character following a series of characters, (ii). A word following a series of words(sentence). Also it contains the usage of LSTM networks.
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
In the repo, we implement anomaly detection (Gaussian fitting) and recommender systems (collaborative filtering) in python and scikit learn based on Andrew Ng's machine learning course.
Fetch the url\title\summary from baike
This Repository contains cat dog image classifier model implemented Using Convolutional Neural Network.
An image classifier to identify pictures of cats and dogs absed on very little data.(inspired by fchollet's blog on blog.keras.io)
🤖 ChatGPT 小程序
ChatGPT微信小程序源码
"Data sets and resources for the book 'Data Analysis with ChatGPT'. This repository contains practical projects, sample code, and data used throughout the book, providing readers with hands-on experience in data analysis."
A simple binary classifier to predict if the given image is a cat or a dog.
A technical report on convolution arithmetic in the context of deep learning
This project uses data exploration, data preprocessing, PCA, and clustering algorithms to profile an unlabeled group of businesses to create a customer segmentation profile.
Fruits-360: A dataset of images containing fruits and vegetables
First version 20170806
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Introductory Applied Machine Learning (INFR09029)
A Neural Network based generative model for captioning images using Tensorflow
# iris-classification-SVM fully explain about SVM and train model of iris classification using SVM algorithm in sklearn
Implementation of K-Means and Principal Component Analysis from scratch and in scikit learn. Based on Andrew Ng's Coursera class.
基于Keras实现Kaggle2013--Dogs vs. Cats12500张猫狗图像的精准分类
Deep Learning for humans
Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'
KNN is one of the famous classification algorithms. Here I have tried to implement it from scratch on a real life dataset and compared the accuracy by running it again on scikit learn
Quick use of logistic regression with and without polynomial features.
In this repository , You can find the files which implements Principal Component Analysis on Iris Dataset and Classification using K-Nearest Neighbor Classifier.
In this repository, we will implement regularized logistic regression to predict whether microchips from a fabrication plant passes quality assurance (QA)
This machine learning program uses sklearn and numpy to create a decision tree. From provided data, the program will use the decison tree as a flow chart, predicting details of the flower the data is based on.
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.