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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.

animation-with-plotly

Animation with Plotly

apache-spark-da-rdd-ve-dataframe-olusturma-teknikleri

Bu çalışmada Apache Spark'da RDD ve Dataframe oluşturma teknikleri anlatılmaktadır.

awesome-visual-question-answering-vqa

A reading list (and code) of resources dedicated to visual question answering.

cnn-with-different-kernel-size-for-sentence-classification

Convolutional Neural Network (CNN) with different kernel size for sentence classification

coursera-machine-learning-lecture-pdfs

Reading material with detailed explanation

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.

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.

introduction-to-natural-language-processing-nlp---nlp-basics

m-peker

mivolo

MiVOLO age & gender transformer neural network

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.

python-notes

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

pytorch-for-numpy-users

PyTorch for Numpy users. https://pytorch-for-numpy-users.wkentaro.com

resnet-layers-visualization

Trains a ResNet on the CIFAR10 dataset - Visualizing Intermediate Layer Activations

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.

sign-language-recognition-from-hand-gestures-using-capsule-networks

Sign Language Recognition from Hand Gestures using Capsule Networks

simple-llm-fine-tuning-framework

A straightforward and flexible framework for fine-tuning large language models (LLMs) like GPT-2, LLAMA, and Mistral, with support for LoRA optimization. This tool allows easy configuration through command-line arguments.

tensorrt_demos

TensorRT YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet

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.

water_filling

yolox-bytetrack-algorithm-optimization-with-cupy

This repository contains an optimized version of the YOLOX-Bytetrack algorithm.