Here in this project, I will use regression analysis to predict medical insurance cost for people in different regions, and based on several aspects like : Smoking, Number of children, BMI...etc. In this project I will :
1 - Exploratory Data Analysis
2 - perform Data Visualization
3 - Generate insights.
4 - Build Regression model.
5 - Evaluate the model.
6 - Regression Summary.
A curated list of awesome deep long-tailed learning resources.
Containerized Streamlit web app This repository is featured in a 3-part series on Deploying web apps with Streamlit, Docker, and AWS. Checkout the blo
Sparse Steerable Convolution (SS-Conv) Code for "Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and
Text Summarization WCN — Weighted Contextual N-gram method for evaluation of Text Summarization In this project, I fine tune T5 model on Extreme Summa
A method that utilized Generative Adversarial Network (GAN) to interpret the black-box deep image classifier models by PyTorch.
Linear Variational State Space Filters To set up the environment, use the provided scripts in the docker/ folder to build and run the codebase inside
RDPNet IEEE TIP 2021: Regularized Densely-connected Pyramid Network for Salient Instance Segmentation PyTorch training and testing code are available.
From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network The official code of VisionLAN (ICCV2021). VisionLAN successfully a
TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting Project Page | YouTube | Paper This is the official PyTorch implementation of the C
Permuton-induced Chinese Restaurant Process Note: Currently only the Matlab version is available, but a Python version will be available soon! This is
MaskAL - Active learning for Mask R-CNN in Detectron2 Summary MaskAL is an active learning framework that automatically selects the most-informative i
Purpose These scripts allow you to record mocap data to, and play from .csv files. This approach facilitates parsing of body movement data in statisti
Periodic Activation Functions Induce Stationarity This repository is the official implementation of the methods in the publication: L. Meronen, M. Tra
[Paper] [Хабр] [Model Card] [Colab] [Kaggle] RuDOLPH 🦌 🎄 ☃️ One Hyper-Modal Transformer can be creative as DALL-E and smart as CLIP Russian Diffusio
PClean: A Domain-Specific Probabilistic Programming Language for Bayesian Data Cleaning Warning: This is a rapidly evolving research prototype.
Predicting lncRNA–protein interactions based on graph autoencoders and collaborative training Code for our paper "Predicting lncRNA–protein interactio
QuadTree Image Segmentation Animation using QuadTree concepts. Usage usage: quad.py [-h] [-fps FPS] [-i ITERATIONS] [-ws WRITESTART] [-b] [-img] [-s S
Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN Official code for NeurIPS 2021 paper "Towards Scalable Unpaired Virtu
TextureGAN This code is our PyTorch implementation of TextureGAN [Project] [Arxiv] TextureGAN is a generative adversarial network conditioned on sketc
picinpics Script that receives an Image (original) and a set of images to be used as "pixels" in reconstruction of the Original image using the set of
210 Dec 25, 2022
62 Jan 02, 2023
25 Dec 21, 2022
1 Jan 03, 2022
3 Dec 29, 2022
0 Dec 13, 2021
41 Oct 21, 2022
81 Dec 12, 2022
330 Dec 11, 2022
3 Dec 17, 2022
49 Dec 20, 2022
21 Dec 12, 2022
12 Jun 07, 2022
232 Jan 04, 2023
190 Dec 27, 2022
1 Nov 29, 2022
29 Dec 25, 2022
131 Jan 07, 2023
147 Dec 14, 2022
1 Oct 24, 2021