tensoflow

🌝 Lottery prediction besides of following "law of proability","Probability: Independent Events", there are still "Saying "a Tail is due", or "just one more go, my luck is due to change" is called The Gambler's Fallacy" existed.

Official implementation of DoubleU-Net for Semantic Image Segmentation in TensorFlow & Pytorch (Nominated for Best Paper Award (IEEE CBMS))

ALBERT model Pretraining and Fine Tuning using TF2.0

The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.

Food image prediction using TensorFlow and calorie estimation using K-Nearest-Neighbors algoritm

Twitter Bot

Variant VNet family

An artificial intelligence based attendance system with face recognition technology.

Detection of Objects in a Floor Plan and Architectural Images

Using TensorflowJS detection models in Angular

MaskRCNN + Tensorflow + Docker

Many market analysts believe that predicting market’s stocks fluctuations is nearly impossible to achieve due to the number of variables involved, especially since many of these variables are based on irrational factors such as human sentiment. However, I developed a model that uses a combination of sentiment analysis, clustering and feed-forwar…

A template of tensorflow projects to maximize code reuse.

Easily Install Tensorflow-GPU 2.1.0 on Linux Ubuntu 18.04 -Cuda 10 & Cudnn 7.6.5 | Download package dependencies with direct link

Basic recommendation system for Movilens dataset using Keras

Want to get notified on the progress of your TensorFlow model training? Enter, a TensorFlow Keras callback to send notifications on the messaging app of your choice.

Predict stock market daily trends with mean one sigma uncertainty, up to several weeks in advance. It combines differents stock from a one sector into one combined model. This serves as a starting point to train each stock again.

This project presents the possibility of utilizing Convolutional Neural Networks in image processing to analyze structures and the possible damages that have occured to them

The log of my 60 days of Data Engineering challenge - to keep myself accountable