catalinalopera Goto Github PK
Name: Diana Catalina Lopera
Type: User
Bio: Happy Coding Day!
Name: Diana Catalina Lopera
Type: User
Bio: Happy Coding Day!
In this project, we demonstrate the process of building a text classification model using the BERT (Bidirectional Encoder Representations from Transformers) architecture. Our goal is to classify texts into two categories: AI-generated and human-written.
This project implement a binary classifier to classify a single number from the MNIST dataset.
This is an exercise to practice computational derivation and matrix multiplication.
This project focuses on the task of Generative Adversarial Network using dataset sourced from Kaggle. The primary goal of this repository is to develop a deep learning model capable of generating high quality, diverse, and realistic images of cat faces.
This project focuses on the task of image classification using datasets sourced from Kaggle. The primary goal of this repository is to evaluate the performance of two neural network architectures, AlexNet and VGG16, and to draw comparisons between these methods.
This is an exercise about applied mathematics for deep learning.
This project implements a multiclass classifier, it shows how to use tensorflow.keras.datasets mnist.
This exercise shows the comprehension of Data Analysis techniques using Pandas library. Topic: Covid-19.
This project aims to analyze the data collected from the solar power plants and predict the power generation for the next couple of days, using LSTM Arquitecture.
This is a regression problem to predict the value of vaults in a hypothetical scenario based on the number of gold and silver coins in each vault.
This exercise shows how to do prediction using scikit learn for Real Estate Price.
This project aims to analyze the data collected from different financial sources and create a dashboard for stock analysis, including predictions and sentimental analysis.
This project shows how to create and modify neural network layers.
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.