146 Open source projects that are alternatives of or similar to SignatureVerification

BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

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.

Deep neural network to extract intelligent information from invoice documents.

A simple self driving car in GTAV that uses the Xception deep neural network model with DeepGTAV

Kervolution implementation using TF2.0

UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.

Self driving car in GTAV with Deep Learning

Generating Captions for images using Deep Learning

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Implementation of Very Deep Convolutional Neural Network for Text Classification

A collection of Audio and Speech pre-trained models.

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

Some State-of-the-Art few shot learning algorithms in tensorflow 2

Filter visualization, Feature map visualization, Guided Backprop, GradCAM, Guided-GradCAM, Deep Dream

I am taking up the #100DaysOfMLCode Challenge 😎

Hyperparameter Optimization for TensorFlow, Keras and PyTorch

Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

Uncertainty-Wizard is a plugin on top of tensorflow.keras, allowing to easily and efficiently create uncertainty-aware deep neural networks. Also useful if you want to train multiple small models in parallel.

Sign Language Recognition for Deaf People

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

C3D for Keras + TensorFlow

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

Keras MNIST for Handwriting Detection

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

An implementation of Faster R-CNN applied to vehicle detection.

rstudio::conf(2020) deep learning workshop

Keras model and tensorflow optimization of 'improved Training of Wasserstein GANs'

lock mechanism with face recognition and liveness detection

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InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

A End to End CNN Model which predicts the steering wheel angle based on the video/image

15+ Machine/Deep Learning Projects in Ipython Notebooks

Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples

Detect Covid-19 with Chest X-Ray Data

Generic U-Net Tensorflow 2 implementation for semantic segmentation

ML Prediction of Bible Topics and Passages (Python / React)

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.

Implemented the YOLO algorithm for scene text detection in keras-tensorflow (No object detection API used) The code can be tweaked to train for a different object detection task using YOLO.

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.

Deep learning models for guitar amp/pedal emulation using LSTM with Keras.

A Tutorial for Serving Tensorflow Models using Kubernetes

Source for post "An Easy Guide to build new TensorFlow Datasets and Estimator with Keras Model"

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Lightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]

Distributed Keras Engine, Make Keras faster with only one line of code.

Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)

Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

Potato Disease Classification - Training, Rest APIs, and Frontend to test.

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该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。