A curiosity-driven PPO + ICM reinforcement learning agent for autonomous maze exploration and victim rescue — built to evolve into a full SLAM-based search and rescue system.
CartPole problem solved using two Reinforcement learning algorithms (DQN and SARSA) with two policies (epsilon-greedy and Boltzmann), with results.
The goal of this project is to predict the expression on the face. The expression labels are standard ones used in psychology research: angry, disgusted, fearful, happy, sad, surprised, neutral.
AI Blog
A simple Neural Network.
The repository concerns the use of optimization techniques in Machine Learning projects. Application examples and explanations. A wide spectrum of algorithms and resources.
This is a game that use Neural Network to detect hand sign, and then applied it to play T-Rex game
Neural network-based cart-pole swing-up control with JAX and MuJoCo
This project aim to implementation of Deep Autoencoder with Keras, this project use fashion mnist dataset from keras Fashion mnist is a dataset of 60,000 28x28 grayscale images of 10 fashion categories, along with a test set of 10,000 images. This dataset can be used as a drop-in replacement for MNIST.
🌾 AI-powered wheat disease detection system using deep learning and computer vision to identify crop diseases from leaf images with fast and accurate predictions.
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