Trade Forecasting Model Using LSTM and Reinforcement Learning
this project aims to predict future closing prices and classify price movements based on short-term trends. the dual-objective approach includes regression and classification models for trade decision optimization.
Breast Cancer Detection with ResNets
this project applies residual neural networks (resnets) for automated detection of breast cancer from histopathological images.
Lunar Lander in Gym for Deep RL
this project uses the lunar lander environment from openai gym as a testbed for deep reinforcement learning. it implements and experiments with policy gradient methods, dqn, and actor-critic algorithms to train an agent to land safely on the moon’s surface.
Neural Style Transfer Art Generator
this project uses convolutional neural networks to apply artistic styles to photographs through neural style transfer. by combining the content of one image with the style of another (e.g., van gogh, monet, picasso).
Car Detection with YOLO
this project implements real-time object detection using the you only look once (yolo) framework to detect cars in images and video streams.
this project is a modern, responsive website developed for the society of petroleum engineers (spe) knust chapter. the site provides information about events, executive members, publications, and announcements.