#Keras-tensorflow
Showing 60 of 86 repositories tagged #keras-tensorflow, ranked by stars
π§ π¬ Articles I wrote about machine learning, archived from MachineCurve.com.
Introduction to Deep Neural Networks with Keras and Tensorflow
Deep neural network to extract intelligent information from invoice documents.
π Monitor deep learning model training and hardware usage from your mobile phone π±
Collaboration with wangxupeng(https://github.com/wangxupeng)
Hyperparameter Experiments with TensorFlow and Keras
High Quality Monocular Depth Estimation via Transfer Learning
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.
Otto makes machine learning an intuitive, natural language experience. π Facebook AI Hackathon winner βοΈ #1 Trending on MadeWithML.com βοΈ #4 Trending JavaScript Project on GitHub βοΈ #15 Trending (All Languages) on GitHub
This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.
PyTorch to Keras model convertor
Introducing neural networks to predict stock prices
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need
Music recommender using deep learning with Keras and TensorFlow
Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)
Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet
This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management
We proposed a novel U-Net-based model -- DC-UNet to do medical image segmentation.
Ψ―ΩΨ±Ω Ψ¬Ψ§Ω ΨΉ ΫΨ§Ψ―Ϊ―ΫΨ±Ϋ ΨΉΩ ΫΩ Ψ¨Ψ§ Tensorflow Ω Keras
TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.
Potato Disease Classification - Training, Rest APIs, and Frontend to test.
Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.
DeepLearning.AI TensorFlow Developer Professional Certificate
Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.
A collection of Audio and Speech pre-trained models.
Distributed Keras Engine, Make Keras faster with only one line of code.
Identify the emotion of multiple speakers in an Audio Segment
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Jupyter Notebook for Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras
Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
Code for NILM experiments using Neural Networks. Uses Keras/Tensorflow and the NILMTK.
This project is about predicting stock prices with more accuracy using LSTM algorithm. For this project we have fetched real-time data from yfinance library.
Deep Reinforcement Learning For Trading
Rede Neural Convolucional para reconhecimento de gestos em LIBRAS (Alfabeto) Projeto 01/2019 - CiΓͺncia da Computação (Universidade Anhembi Morumbi)
Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs classic Model Predictive Control
Serving a keras model (neural networks) in a website with the python Django-REST framework.
Tensorflow 2 Faster-RCNN implementation from scratch supporting to the batch processing with MobileNetV2 and VGG16 backbones
UNet based model that segment retina to 8 layers in OCT images
A Tutorial for Serving Tensorflow Models using Kubernetes
I have built the computer vision models in 3 different ways addressing different personas, because not all companies will have a resolute data science team. quality-control manufacturing big-data-analytics jupyter-notebook cognitive services industry solutions
ML Nexus is an open-source collection of machine learning projects, covering topics like neural networks, computer vision, and NLP. Whether you're a beginner or expert, contribute, collaborate, and grow together in the world of AI. Join us to shape the future of machine learning!
Automatically backup keras/tensorflow models from Google's Colab service to your GoogleDrive based on a keras callback!
TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.
3D CNN to predict single-phase flow velocity fields
TF2.0 port for Augmix paper
SoundPy (alpha stage) is a research-based python package for speech and sound. Applications include deep-learning, filtering, speech-enhancement, audio augmentation, feature extraction and visualization, dataset and audio file conversion, and beyond.
A simple self driving car in GTAV that uses the Xception deep neural network model with DeepGTAV
A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.
ODIR-2019: Ocular Disease Intelligent Recognition is a project leveraging state-of-the-art deep learning architectures to analyze and classify ocular diseases based on medical imaging data. This repository implements advanced machine learning techniques and modern neural network architectures to push the boundaries of intelligent recognition
Bank customers churn dashboard with predictions from several machine learning models.
Semantic Segmentation using Tensorflow on popular Datasets like Ade20k, Camvid, Coco, PascalVoc
SELD-TCN: Sound Event Detection & Localization via Temporal Convolutional Network | Python w/ Tensorflow
Piping and instrumentation diagram reader
Food Ingredients Recognition and Calorie Estimation using Multi-Task Deep Learning
Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2
Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction