Disease classifier in strawberries, tomatoes, and beans using Computer Vision with TensorFlow and Keras. 🍃🌿

I chose 'fatalities_isr_pse_conflict_2000_to_2023' data for analysis & visualization. The query editing was done in 'Microsoft SQL Server Management Studio' and the visualization part was using 'Mi…

The full collection of all codes for my Youtube Channel segregated as per topic.

This repository contains implementations and illustrative code to accompany DeepMind publications

A curated list of awesome 3d generation papers

Autoencoder model for Point Clouds implemented in PyTorch

ModelNet10 Classification with PoinNet Architecture

Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]

The aim of the project is to optimize the price of new house listing by analysing other people's pricing data in surrounding areas, relative to features such as locations, amenities, reviews, etc.

Simulation of Kinect Measurements

Pwc Virtual Internship Program.

Data augmentation algorithm for point clouds

Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction 🍇 (AAAI 2018)

(TPAMI2023) Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey

this is the official link to request CTooth

PyTorch version of MeshSegNet for tooth segmentation of intraoral scans (point cloud/mesh). The code also includes visdom for training visualization; this project is partially powered by SOVE Inc.

Point cloud diffusion for 3D model synthesis

Papers and Datasets about Point Cloud.

This repository contains my Data Analytics portfolio projects ranging from SQL, Python, Tableau, Excel, and Hadoop (HiveQL).

Portfolio of data science and data analyst projects completed by me for academic, self learning, and hobby purposes.

Implementation of the Chamfer Distance as a module for PyTorch

PyTorch Tutorial for Deep Learning Researchers

Tensorflow implementation of 3D Generative Adversarial Network.

Test GAN.

Implementation of 3D GAN in PyTorch based on http://3dgan.csail.mit.edu/papers/3dgan_nips.pdf

Pytorch implementation of https://github.com/optas/latent_3d_points

Auto-encoding & Generating 3D Point-Clouds.

A PyTorch Library for Accelerating 3D Deep Learning Research