razanth3

razanth3's Stars

• hujie-frank/SENet

  Squeeze-and-Excitation Networks

  Language:Cuda3.4k8391839

• saharmor/dalle-playground

  A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)

  Language:JavaScript2.8k3296596

• titu1994/keras-squeeze-excite-network

  Implementation of Squeeze and Excitation Networks in Keras

  Language:Python4001521118

• venky14/Stock-Market-Analysis-and-Prediction

  Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

  Language:HTML276162119

• ddhaval04/Lung-Cancer-Detection

  Language:Jupyter Notebook323128

• sushantag9/Supermarket-Sales-Data-Analysis

  The growth of supermarkets in most populated cities are increasing and market competitions are also high. This dataset is one of the historical sales of supermarket company which has recorded in 3 different branches for 3 months data. Predictive data analytics methods are easy to apply with this datasets.

  Language:Jupyter Notebook252152

• rdcolema/dsb

  Kaggle Data Science Bowl 2017 - Detecting Lung Cancer From DICOM Scans

  Language:Jupyter Notebook214111

• anshuljdhingra/Lung-Cancer-Detection-using-CNN

  Lung Cancer Detection using CNN

  Language:Jupyter Notebook203120

• imkhan2/se-resnet

  A squeeze-and-excitation enabled ResNet for image classification

  Language:Python19306

• akashadhikari/covid19_analysis

  Asking important and interesting questions regarding Coronavirus outbreak and finding the answers using data.

  Language:Jupyter Notebook13302

• gbroques/dbscan

  DBSCAN density-based clustering algorithm in Python.

  Language:Jupyter Notebook10301

• RitRa/Project2018-iris

  Fisher’s Iris data set analysis

  Language:Jupyter Notebook102011

• BeirutAI/Market-Basket-Analysis

  Market Basket Analysis in Python

  Language:Jupyter Notebook89

• ag17sep/Data-Science-Bowl-2017

  My crack at the Data Science Bowl Challenge 2017 using SPIE-AAPM Lung CT Dataset

  Language:Python5201

• ahtshambhatti/currency-Detector

  Saudi paper currency detection using opencv3 and python3

  Language:Python5201

• furkhan26/Predicting-Student-performance

  Predicting the performance of each student using three algorithms of machine learning and the analysis through the dataset that contain all daily routine of student from hobbies to favorite subjects.

  Language:Jupyter Notebook55

• denistanjingyu/Instacart-Market-Basket-Analysis

  Used association ruling to find out which products were frequently bought together. Aim is to drive higher sales volume and customer retention.

  Language:R4200

• anhvung/Squeeze-and-Excitation-Networks

  Implementation of SE-ResNet models and other SE-Nets

  Language:Jupyter Notebook2100

• breadbread1984/DALL-E-tf2

  [WIP] this project implements txt2image algorithm introduced in paper [zero-shot text-to-image generation](https://arxiv.org/abs/2102.12092)

  Language:Python230

• huzaifabaloch/Data-Analysis-

  Analyzing, Visualizing different real world datasets to answer some business questions using python pandas library.

  Language:Jupyter Notebook2200

• jose0628/Airbnb_Seattle

  Data Analysis by CRISP-DM Methodology

  Language:HTML2100

• ambareeshr/Squeeze-and-Excitation-Network-from-scratch

  Part 2 of "From Scratch" Series. Implementation of Squeeze and Excitation ResNet50 network in tensorflow

  Language:Jupyter Notebook1100

• elahesharifi/ChessGamesAnalysis

  Data analysis and visualization of chess games dataset using Python libraries and answer the questions.

  Language:Jupyter Notebook1300

• Juan-Pisco/stackoverflow-data-analysis

  Data analysis according to CRISP-DM for answering development field questions with StackOverflow's survey results from 2020

  Language:Jupyter Notebook1100

• Mahya-Asg/Sales_Analysis

  answering some questions about synthetic sales data

  Language:Jupyter Notebook110

• Nikunj6596/Assignment---Pandas-Data-Analysis-Practice.ipynb

  Pandas exercise questions and answers

  Language:Jupyter Notebook120

• rpycgo/Squeeze_and_Excitation_Networks

  Language:Python110

• zeeshannisar/Squeeze-and-Excitation-Networks

  120