billy-enrizky Goto Github PK
Name: Muhammad Enrizky Brillian
Type: User
Company: University of Toronto
Bio: Currently working as a Data Engineer at Sanofi. The most active one is @billyenrizkybrillian
Location: Toronto, Ontario
Name: Muhammad Enrizky Brillian
Type: User
Company: University of Toronto
Bio: Currently working as a Data Engineer at Sanofi. The most active one is @billyenrizkybrillian
Location: Toronto, Ontario
"Embark on a cutting-edge journey in Human Activity Recognition using a fusion of Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks. This project includes model training, metric visualization, and action prediction in videos. Experience seamless interaction with a Streamlit-powered user-friendly version (at the bottom)
Analyzing Bikeshare Data in Toronto using R Programming Language
Presenting a Deep Convolutional Generative Adversarial Network (DCGAN) for generating anime faces. The process involves training a discriminator and generator neural network on a dataset comprising 21,551 manually resized anime faces (64x64 pixels). The generator is capable of producing realistic anime faces after being trained for 50 epochs.
This repository evaluates the generalization ability of the STRM (Spatio-Temporal Relation Modelling) model across various datasets. We provide additional resources, enhancements, and comprehensive documentation not available in the original STRM repository. Our goal is to facilitate the reproduction and extension of STRM's results
This project consists of a simple task manager web application developed using Flask, a micro web framework for Python. The application allows users to manage tasks, including adding, editing, and deleting tasks. It utilizes SQLAlchemy as an Object-Relational Mapping (ORM) tool to interact with a SQLite database.
🚀 Image Caption Generator Project 🚀 🧠 Building Customized LSTM Neural Network Encoder model with Dropout, Dense, RepeatVector, and Bidirectional LSTM layers. Sequence feature layers with Embedding, Dropout, and Bidirectional LSTM layers. Attention mechanism using Dot product, Softmax attention scores,...
SQL Database Management, Then Visualizing it on Tableau!
Explore an ML model with Logistic Regression, SVM, Gradient Boosting, Random Forest, and Decision Tree, enhanced via Hyperparameter Tuning. Experience our GUI-based ML model with 82.49% accuracy. Try it now!
Transform podcast listening with our Podcast Summarizer Project! This innovative tool transcribes audio, extracts key content, and provides user-friendly summaries. The project utilizes AssemblyAI and Listen Notes APIs for transcription and episode details. Simply input an episode ID, click "Download Episode Summary," and experience podcast content
My Personal Portfolio Website Created Using HTML, CSS, and JavaScript
Practicion of Machine Learning, One-hot encoding, Random Forest, Hyperparameter Tuning, Grid Search CV, With accuracy of 84.92%!
"Analyzed Google Playstore data using PySpark: Cleaned data, explored top apps by reviews, installs, and ratings, and price."
🚀 PyTorch Handwritten Digit Recognition 🤖 Discover the world of machine learning with our PyTorch Handwritten Digit Recognition project! 🔍 Data Exploration Explore the MNIST dataset with 60,000 training images and 10,000 testing images. 📦 Data Preparation Effortlessly set up and import the dataset using PyTorch and torchvision.
Utilizing Google Maps API, Typescript, Mongodb, and Node.js
"Sales Data Analysis Project: Analyzing sales data, cleaning, and exploring insights. Python and Pandas used for data analysis."
This project focuses on real-time Speech Emotion Recognition (SER) using the "ravdess-emotional-speech-audio" dataset. Leveraging essential libraries and Long Short-Term Memory (LSTM) networks, it processes diverse emotional states expressed in 1440 audio files. Professional actors ensure controlled representation, with 24 actors contributing
I-menu Using Flask
Analyzing Temperature of Ann-Arbor
"TensorFlow Image Classification Project" This project demonstrates image classification using TensorFlow. The CIFAR-10 dataset, consisting of 60,000 32x32 color images across 10 classes, is explored and analyzed. Key components include data loading, dataset characteristics, and a machine learning model built using the functional API.
GIS Data Science Project Using Folio Library!
valentine-card
Exploratory Data Analysis Using Pandas on the Like or Dislike DataFrame in a Youtube Video
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.