170 Open source projects that are alternatives of or similar to WGAN_GP

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

📚 Text classification library with Keras

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

Generating Captions for images using Deep Learning

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

Deep neural network to extract intelligent information from invoice documents.

A collection of Audio and Speech pre-trained models.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras

Keras Implementation of the paper Deep HDR Imaging via A Non-Local Network - TIP 2020

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.

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

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.

Implementation of Very Deep Convolutional Neural Network for Text Classification

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

Sign Language Recognition for Deaf People

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

C3AE implement

Playing with MNIST. Machine Learning. Generative Models.

Keras callbacks for one-cycle training, cyclic learning rate (CLR) training, and learning rate range test.

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

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

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

Hyperparameter Optimization for TensorFlow, Keras and PyTorch

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

A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need

C3D for Keras + TensorFlow

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.

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

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

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

A Tutorial for Serving Tensorflow Models using Kubernetes

I am taking up the #100DaysOfMLCode Challenge 😎

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

rstudio::conf(2020) deep learning workshop

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

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

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

lock mechanism with face recognition and liveness detection

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Simple Pytorch implementations of most used Generative Adversarial Network (GAN) varieties.

Interpolation-Prediction Networks for Irregularly Sampled Time Series

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

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

High Quality Monocular Depth Estimation via Transfer Learning

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

Pruning and other network surgery for trained TF.Keras models.

Detect Covid-19 with Chest X-Ray Data

Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub

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

PyTorch to Keras model convertor

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

Generic U-Net Tensorflow 2 implementation for semantic segmentation

Kervolution implementation using TF2.0

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

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.

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。

Deep Learning with Tensor Flow for EEG MNE Epoch Objects