Recycle your plastic better with Artificial Intelligence ♻️

AIShield Watchtower: Dive Deep into AI's Secrets! 🔍 Open-source tool by AIShield for AI model insights & vulnerability scans. Secure your AI supply chain today! ⚙️🛡️

A Python-based computer vision and AI system for skin disease recognition and diagnosis. Led end-to-end project pipeline, including data gathering, preprocessing, and training models. Utilized Keras, TensorFlow, OpenCV, and other libraries for image processing and CNN models, showcasing expertise in deep learning and machine learning techniques.

Implementation of openpose with tensorflow & openCV for estimation of human poses & classification.

Simple machine learning in Python/Tensorflow with model saving

Implementation of the RTSS'23 Best Student Paper Award paper Progressive Neural Compression for Adaptive Image Offloading under Timing Constraints

Real time Human Pose estimation using Tensorflow and OpenCV

Monitor Your Workout through a Webcam/IP Camera. No equipment is required, other than a camera and a laptop. This application could potentially replace a personal trainer, making it the idea app for workout.

CS50 final project - webapp to train neural network

Monte Carlo Tree Search (MCTS) combined with Reinforcement Learning (RL) and Deep Learning (DL) to play the board game Hex

🔥A style-image iOS project based on tensorflow.（基于Tensorflow的iOS图像处理工程，效果类似Primsa。）

Deep learning-based hate speech detection for social media comments.

This RNN based model predicts movies popularity based on users reviews and scores on Imdb.com and creates an HTML file with relevant statistics.

Fully connected number recognition neural network

Coupling TensorlFlow deep learning models to OpenFOAM for RANS simulations

MNIST inference example on NVIDIA Triton Inference Server

An example of using Tensorflow run MNIST model on iOS.

The Shakespeare Poetry Generator is a neural network-based Python project that uses TensorFlow and Keras to generate text in the style of William Shakespeare. It employs character-level prediction to create new, stylistically similar content based on a trained subset of Shakespeare's works.