545 Open source projects that are alternatives of or similar to Keras_ile_Derin_Ogrenmeye_Giris

Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.

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!

Kod, matematik, çoklu-çerçeveler ve tartışmalar içeren etkileşimli derin öğrenme kitabı. 55 ülkede Stanford, MIT, Harvard, and Cambridge dahil 300 üniversitede kullanılmaktadır.

No description or website provided.

Derin Öğrenme Kütüphanesi Keras ile Python Flask Web Framework Üzerinde Nesne Tanıma Uygulaması - https://vision-image-classify.herokuapp.com/

Facial Expression Recognition with Keras

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…

Serving a keras model (neural networks) in a website with the python Django-REST framework.

Recurrent Neural Network for generating piano MIDI-files from audio (MP3, WAV, etc.)

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Implementation of a GAN that generates video using LSTM and ConvNet in Tensorflow

A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation

🤖A list of resources to help anyone getting started with GANs 🤖

Pytorch implementation of CycleGAN.

Material de la charla "The bad guys in AI - atacando sistemas de machine learning"

PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)

Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification

Task-Aware Compressed Sensing Using Generative Adversarial Networks (published in AAAI18)

Brainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.

Hierarchical Attention Networks for Document Classification in Keras

cRNN-GAN to generate music by training on instrumental music (midi)

Benchmarking synthetic data generation methods.

Two-stage GANs that generate fingerstyle guitarist images from audio.

This is the official GitHub repository for ECCV 2020 Workshop paper "Single image dehazing for a variety of haze scenarios using back projected pyramid network"

Tensorflow-based framework to ease training of generative models

StyleGAN Encoder - converts real images to latent space

CharacterGAN: Few-Shot Keypoint Character Animation and Reposing (Best Paper WACV 2022)

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

TensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.

Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)

Codes of the paper "Adversarial Binary Coding for Efficient Person Re-identification"

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

A tutorial exploring multiple approaches to deploy a trained TensorFlow (or Keras) model or multiple models for prediction.

CycleGAN based neural network architecture to change the gender of a person’s face

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Designed to take you from zero experience to GANs within a week.

Redesigning the Pix2Pix model for small datasets with fewer parameters and different PatchGAN architecture

Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf

Keras implementation of "A Neural Algorithm of Artistic Style"

Synthetic Data Generation for mixed-type, multivariate time series.

Sequence Modeling with Structured State Spaces

Code for DCASE 2020 task 1a and task 1b.

Adversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering

Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

Tensorflow codes for our ICIP-17 and arXiv-1708.09533 works: "ArtGAN: Artwork Synthesis with Conditional Categorial GAN" & "Learning a Generative Adversarial Network for High Resolution Artwork Synthesis "

Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.

my own deep learning mastery roadmap

Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.

Smart India Hackathon 2019 project given by the Department of Atomic Energy

Using ML to create a ForEx trader to invest my personal finances to get rid of student debt

Listing my favorite research papers 📝 from different fields as I read them.

Pytorch implementation of multitask CycleGAN with auxiliary classification loss

Tensorflow Implementation of DiscoGAN

Translate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks

An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data

Python script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.

This repository contains a new adversarial training method for Generative Conversational Agents

My pytorch implementation for GAN

[Lumiata COVID-19 Winner] COVID Immunity testing results registered to the Blockchain for healthcare safety.