Recycle your plastic better with Artificial Intelligence ♻️
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Updated
May 31, 2023 - PureBasic
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
Recycle your plastic better with Artificial Intelligence ♻️
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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
🔥A style-image iOS project based on tensorflow.(基于Tensorflow的iOS图像处理工程,效果类似Primsa。)
Coupling TensorlFlow deep learning models to OpenFOAM for RANS simulations
Detect hate speech in social media comments using deep learning.
Monte Carlo Tree Search (MCTS) combined with Reinforcement Learning (RL) and Deep Learning (DL) to play the board game Hex
This RNN based model predicts movies popularity based on users reviews and scores on Imdb.com and creates an HTML file with relevant statistics.
An app to detect and classify plant disease
This is a repository for building facades segmentation using CMP facade dataset and unet architecture of neural network with Tensorflow.
Fully connected number recognition neural network
An example of using Tensorflow run MNIST model on iOS.
Created by Google Brain Team
Released November 9, 2015