zarabozdag

SRGAN-PyTorch

A simple and complete implementation of super-resolution paper.

pytorch-image-classification

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

bcresnet

Speech-Recognition-with-PyTorch

CNN implementation in Python with PyTorch, on audio .wav files (94+ on test).

awesome-speech-recognition-speech-synthesis-papers

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

Automatic_Speech_Recognition

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

DENTEX

MICCAI 2023 & Dental Enumeration and Diagnosis on Panoramic X-rays Challenge

NCRF

Cancer metastasis detection with neural conditional random field (NCRF)

DAF3D

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

AI-News

Summarize the paper and code in AI(Semantic Segmentation, Medical Segmentation,REID,Super-Resolution,Registration,CVPR,ECCV,ICCV,AAAI,MICCAI)

PFA-ScanNet

PFA-ScanNet: Pyramidal Feature Aggregation With Synergistic Learning for Breast Cancer Metastasis Analysis (Architecture Only Pytorch Implementation).

segmentation-paper-reading-notes

segmentation paper reading notes

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

DANet

Dual Attention Network for Scene Segmentation (CVPR2019)

Fast-Pytorch

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

Custom-Mask-RCNN-Using-Tensorfow-Object-Detection-API

A sample project to build a custom Mask RCNN model using Tensorflow object detection API

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

deepslide

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

DeepLearningCamelyon

DeepLearning - Camelyon16 dataset

tensorflow-data-augmentation

Data Augmentation using Tensorflow for Deep Learning

derin-ogrenme-alet-cantasi

Bu repoda derin öğrenme uygulamalarını geliştirirken ihtiyacınız olabilecek ufak kullanışlı araçlar yer almaktadır.

veri-artirma-data-augmentation

Bu repoda veri artırma (data augmentation) ile ilgili pratik uygulamalara ulaşabilirsiniz.

tensorflow_input_image_by_tfrecord

Feed your own image data to a pre-trained network by tensorflow

Makine-Ogrenmesi

Makine Öğrenmesi Türkçe Kaynak

fastai

The fastai deep learning library