mpeker's repositories
Developing-new-technique-for-Sentiment-Analysis-using-Combining-Capsule-Networks
This notebook introduces and implements a Combined Capsule Network in Keras and evaluates its performance for Sentiment Analysis on IMDB Dataset. The developed architecture is presented below.
Detection-of-Parkinson-s-disease-with-the-images-of-Spiral-Wave-using-fast.ai
The diagnosis of Parkinson's disease in hand-drawn images of spirals and waves with fast.ai and deep learning techniques.
Sign-Language-Recognition-from-Hand-Gestures-using-Capsule-Networks
Sign Language Recognition from Hand Gestures using Capsule Networks
Awesome-Visual-Question-Answering-VQA
A reading list (and code) of resources dedicated to visual question answering.
Animation-with-Plotly
Animation with Plotly
Python-Matplotlib-Basics
Matplotlib is a very powerful plotting library useful for those working with Python and NumPy. The most used module of Matplotib is Pyplot which provides an interface like MATLAB but instead, it uses Python and it is open source. This tutorial presents basic knowledge about Matplotlib.
A-Comparison-of-Deep-Learning-Methods-for-Bitcoin-Price-Prediction--Time-Series-Analysis
This notebook demonstrates the prediction of the bitcoin price by different deep learning models.
Python-NumPy-Basics
The NumPy library is the core library for scientific computing in Python. It provides a high-performance multidimensional array object, and tools for working with these arrays. This document provides basic information about Numpy.
Python-Pandas-Basics
This tutorial has been prepared for those who seek to learn the basics and various functions of Pandas. It will be specifically useful for people working with data cleansing and analysis
Python-Programming-for-Data-Science-Cheat-Sheet
Python Programming A-Z: Cheat Sheet
Side-Output-Fusion-Convolutional-Neural-Network-CNN
The deep learning architecture, called Side Output Fusion Network, classifies the feature map obtained by combining low-level, mid-level and high-level information from each convolution layer. Feature fusion positively affects the results.
Apache-Spark-da-RDD-ve-Dataframe-Olusturma-Teknikleri
Bu çalışmada Apache Spark'da RDD ve Dataframe oluşturma teknikleri anlatılmaktadır.
darknet-web
A simple web application used to consume the YOLO network. Written in Django (WIP)
deepstream_360_d_smart_parking_application
Describes the full end to end smart parking application that is available with DeepStream 5.0
MiVOLO
MiVOLO age & gender transformer neural network
Object_Detection
Recognition of product positions on shelf images using neural networks
ocr_tflite
This repository is to create tflite models for the available ocr models
pytorch-for-numpy-users
PyTorch for Numpy users. https://pytorch-for-numpy-users.wkentaro.com
Shelf-Detection-using-SIFT
Product recognition in store shelves using SIFT
tensorrt_demos
TensorRT YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet
tensorrtx
Implementation of popular deep learning networks with TensorRT network definition APIs
tracklite
Using Tensort to speed up yolov3 with deepsort for MOT
Useful-pre-processing-codes-before-image-labeling
In this section, some pre-processing steps that can be used before image labeling, which is an important stage for object detection, are shared.
yolo-tensorrt
Support Yolov5s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.
YOLOX-Bytetrack-Algorithm-Optimization-with-CuPy
This repository contains an optimized version of the YOLOX-Bytetrack algorithm.