A best practice for tensorflow project template architecture.
Showing full TensorBoard support in Tensorflow for a CNN using MNIST data.
SEQ2SEQ model with Attention mechanism for QA also for NMT +(Generating text using LSTM network)
Discord Bot in python with rasa nlu, tensorflow, discord api
머신러닝 프레임워크를 활용한 비교사(Unsupervised) 학습 모델 구현 프로젝트
Models, and associated helper code for GSOC 2017 project Tensorflow Image to Text in Apache Tika
A implement of pix2pix for tensorflow version(Image-to-Image Translation with Conditional Adversarial Nets)
Deep learning for image classification via transfer learning using Keras, PyTorch, and MXNet on Cloudera Data Science Workbench
This repo dedicated to the project of Image processing and generating HTML file
Original Keras implementation of the code for the paper "Client-driven animated GIF generation framework using an acoustic feature," at 1171: Real-time 2D/3D Image Processing with Deep Learning (MTAP)
AixrTensor is a customizable and dynamic tensor library designed to outperform TensorFlow with enhanced memory management, dynamic model structures, automated hyperparameter tuning, and simplified AI training workflows. Build, train, and deploy your machine learning models with efficiency and ease!
A Command Line Tool (or CLI) to perform Neural Style Transfer along with image filtering to produce an artistic recreation of an input image!
Course work of Computational physics
To test if CAPTCHA secure login security codes are secure from bot attacks I developed a CNN classifier model in Python using TensorFlow to predict the CAPTCHA codes. Predicted over 40,000 CAPTCHA codes with an accuracy above 98%.
WellnessWise_ml model is neural network machine learning model trained for Providing health risk for diseases like Cardiovascular, Hypertension, cancer, Diabetes, and obesity. There are two types of model one for h5, other is in tensor flow lite formate for Mobile phone integration and low powered device's.
This server provides a RESTful API for accurately identifying potato diseases from image uploads. It integrates deep learning models, offers scalable performance. Ideal for AgriTech solutions, researchers, and farmers aiming for early disease detection and improved crop yields.
This is deep learning implementation of predicting user ratings based on user reviews project.
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