Sevendi Eldrige Rifki Poluan's repositories
A-Collection-of-My-Machine-Learning-Projects
Explore my ML portfolio | Pushing the boundaries of ML | Venturing into supervised, unsupervised, and reinforcement learning | Encompassing classification, regression, NLP, time-series analysis, explainable AI, and image segmentation.
federated_learning_mnistdigit
Decentralized and Privacy-Preserving Machine Learning: Exploring the Power of Federated Learning.
reinforcement_learning
This repository contains a variety of projects related to reinforcement learning, showcasing different approaches to implementing it in various scenarios.
eXplainable_ai_pneumonia
Visualizing Pneumonia Detection in Chest X-Ray Images: Enhancing Transparency and Understanding with Explainable AI using Grad-CAM and VGG19
Forex_market_prediction_EUR_USD
This project implements a time series prediction model for the EUR/USD currency pair, which is one of the most actively traded currency pairs in the forex market.
IMDB_sentiment_analysis
This project focuses on the utilization of the large movie review dataset, which provides an extensive collection of data for binary sentiment classification.
PositionSizer
Calculate your position size based on the risk and account size and execute your trades with this free MetaTrader expert advisor.
SCUT_HEAD_object_detection
This repository is dedicated to the task of object detection specifically for detecting human heads. The project focuses on developing and implementing algorithms and models that can accurately detect and localize human heads within images or video frames.
Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
Cat_dogs_classification
This project is a deep learning model for image classification of cats and dogs using the popular Kaggle dataset containing 25,000 labeled images of cats and dogs.
DataStructure_fundamental
This repository provides a comprehensive exploration of fundamental data structures used in computer science and software development. It covers essential data structures such as arrays, linked lists, stacks, queues, trees, graphs, hash tables, etc.
Fashion_mnist_classification
This project focuses on implementing a machine learning model for fashion image classification using the Fashion MNIST dataset.
flickr30k_image_captioning
"Flickr30k_image_captioning" is a project or repository focused on image captioning using the Flickr30k dataset. The project aims to develop and showcase algorithms and models that generate descriptive captions for images.
snort3-docker
This repository provides a master setup for a Snort3 container, designed to be modified and manipulated according to various scenarios.
FlowerClassification
This project aims to train a deep learning model using the flower-photos dataset, which consists of 5 classes of flowers: sunflowers, tulips, dandelions, roses, and daisies.
Food-101_classification
This project utilizes transfer learning with the EfficientNetB7 model for image classification on a challenging food dataset consisting of 101 food categories and 101,000 images
Made-With-ML
Learn how to responsibly develop, deploy and maintain production machine learning applications.
MEDIUM_pred_next_words
This project aims to predict the next words in a sentence using a language model trained on the Medium dataset, specifically focusing on generating likely sentences based on the initial words of a Medium post title entered in the search bar.
MNIST_digits_recognition
Implementation of digit recognition using the MNIST dataset. Train a model on grayscale handwritten digit images to accurately classify and predict numerical values of unseen digits.
phoenix
ML Observability in a Notebook - Uncover Insights, Surface Problems, Monitor, and Fine Tune your Generative LLM, CV and Tabular Models
PubMed200kRCT_medical_abstracts_classification
This project explores the fundamental aspects of natural language processing (NLP) using the PubMed200kRCT_medical_abstracts dataset, comprising approximately 200,000 labeled Randomized Controlled Trial (RCT) abstracts.
semantic-segmentation-Oxford-IIIT-Pet
Deep learning-based segmentation with U-Net architecture on Oxford-IIIT Pet dataset, leveraging VGG16 model.
socket.io-client-cpp
C++11 implementation of Socket.IO client
TMDB_5000_Movie_recommendation_system
TMDB_5000_Movie_recommendation_system is a repository for a hybrid movie recommendation system. Discover personalized movie recommendations based on user preferences and movie features using the TMDB 5000 Movies dataset.
Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Tools to Design or Visualize Architecture of Neural Network
USInsurance_regression
In this project, I utilize the Insurance US dataset to predict health insurance costs based on various input features, enabling insights into the factors influencing insurance charges.