tensoflow
There are 2 repositories under tensoflow topic.
yangboz / LotteryPrediction
:full_moon_with_face: 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.
Language:Jupyter Notebook 263DebeshJha / 2020-CBMS-DoubleU-Net
Official implementation of DoubleU-Net for Semantic Image Segmentation in TensorFlow & Pytorch (Nominated for Best Paper Award (IEEE CBMS))
Language:Python 225kamalkraj / ALBERT-TF2.0
ALBERT model Pretraining and Fine Tuning using TF2.0
Language:Python 199bicepjai / Deep-Survey-Text-Classification
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.
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jubins / DeepLearning-Food-Image-Recognition-And-Calorie-Estimation
Food image prediction using TensorFlow and calorie estimation using K-Nearest-Neighbors algoritm
Language:Jupyter Notebook 72nickorzha / object-detection-in-floorplan-image
Detection of Objects in a Floor Plan and Architectural Images
Language:Python 36gunarakulangunaretnam / face-recognition-based-attendance-system
An artificial intelligence based attendance system with face recognition technology.
Language:C# 31avatsaev / angular-tensorflowjs-example
Using TensorflowJS detection models in Angular
Language:TypeScript 26abhishekrana / MaskRCNN_Tensorflow_Docker
MaskRCNN + Tensorflow + Docker
Language:Vim Script 22BenChaliah / FundamentalAnalysis
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-forward neural network in order to predict the market trends.
Language:Jupyter Notebook 16HudsonHuang / tensorflow-template
A template of tensorflow projects to maximize code reuse.
Language:Python 16miladfa7 / Install-Tensorflow-GPU-2.1.0-on-Linux-Ubuntu-18.04
Easily Install Tensorflow-GPU 2.1.0 on Linux Ubuntu 18.04 -Cuda 10 & Cudnn 7.6.5 | Download package dependencies with direct link
CVxTz / Recommender_keras
Basic recommendation system for Movilens dataset using Keras
Language:Python 12ilias-ant / tf-notify
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.
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toprakozturk / language-classifier
Tries to predict which language a word belongs using LSTMs.
Language:Python 6Zahidul-Islam / 60-days-of-data-engineering
The log of my 60 days of Data Engineering challenge - to keep myself accountable
liuyaox / name2gender
To predict a chinese name to be male or female
Language:Python 4dineshsonachalam / Tutorials-on-Keras-with-Tensorflow-Backend
Tensorflow basics
Language:Jupyter Notebook 3- TensorBoard_Plugin_WSI
IAmS4n / TensorBoard_Plugin_WSI
A plugin for TensorBoard to show WSI images. The plugin is based on Deep Zoom Image (DZI).
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soumyajit4419 / Advance-NLP-Text_Mining
Natural Launguage Processing ,Text-Mining ,Natural Launguage Understanding
Language:Jupyter Notebook 3Aveek-Saha / Graph-Conv-Net
A TensorFlow 2 implementation of Graph Convolutional Networks (GCN)
Language:Python 2cartacode / chatbot_app
Recurrent neural network -- generates messages in your style of speech! Trained on imessage data. Sqlite3, TensorFlow, Flask, Twilio SMS, AWS.
Language:Python 2danngalann / cnn-image-search-engine
ResNet reverse image search
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jeffin07 / LearningML
This repository is my journey towards learning ML which contains all my coding experiments ... :)
Language:Python 2spykard / Deep-Learning-WebApp
Deploy your own or any pre-trained Deep Neural Network to the Web using Flask. Supports both text and image classifiers.
Language:Python 2YehyaAbdellatif / -Classification-of-Images-for-Building-Damage-Assessment
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
Language:Python 2- Chest-X-Ray-Effusion-Detection-using-CNN-ResNet
GvHemanth / Chest-X-Ray-Effusion-Detection-using-CNN-ResNet
In this X-ray classification assignment, we built a deep learning model to classify chest X-ray images into "nofinding" and "effusion" classes. We tackled challenges like data augmentation, imbalanced classes, and used weighted cross-entropy to improve model performance. The goal was to identify abnormalities with high accuracy.
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nicenustian / stocks-bayesian-lstm-and-transfer-learning
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.
Language:Python 1sreevathsagolla / SISR_Downscaling
Code and data for our research work on "Comparative assessment of image super-resolution techniques for spatial downscaling of IMD Gridded Rainfall Data"
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