prateekvyas1996
Hi, I’m Prateek, a geoscience engineer and researcher, passionate for data and deep learning. Working as associate technical professional at Halliburton.
Jaipur
Pinned Repositories
2016-ml-contest
Machine learning contest - October 2016 TLE
all-cv-notebooks
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
bark-with-voice-clone
🔊 Text-prompted Generative Audio Model - With the ability to clone voices
CLR
Crystal-Gems
A dataset of mineral images and labels for machine learning purposes. http://www.minerals.net/
cs-video-courses
List of Computer Science courses with video lectures.
d2l-en
Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.
Deep-Learning-for-well-logs
This repository contains deep learning and helpful functions for well log data and deep learning which can be used to make models on well logs.
deeplearning_in_welllogs
This is a jupyter notebook that explains how to use deep learning to solve well log analysis problem. This code is been written in PyTorch as a personal project, anybody can use it and replicate and modify it on their own data.
Facies-Prediction-From-well-log-using-deep-learning
Deep Learning model to predict the facies using well log data
prateekvyas1996's Repositories
prateekvyas1996/DivaPythonTools
Interface to run Diva software tool (spatial interpolation).
prateekvyas1996/refinery_images
this repository contains bar charts to access on net
prateekvyas1996/Mineral-Recognition
prateekvyas1996/deep_complex_networks
Implementation related to the Deep Complex Networks
prateekvyas1996/src
Main Madagascar source
prateekvyas1996/cs50.lecture1
prateekvyas1996/cs50.webprogramming
prateekvyas1996/SOMPY
Modification of SOMPY repo with robust K-means clustering (bootstrapped SSE elbow method)
prateekvyas1996/MinDat-Mineral-Image-Dataset
A dataset of +500,000 mineral images with labels taken from mindat.org.
prateekvyas1996/Mindat
A dataset of mineral images created from mindat.org
prateekvyas1996/Crystal-Gems
A dataset of mineral images and labels for machine learning purposes. http://www.minerals.net/
prateekvyas1996/2016-ml-contest
Machine learning contest - October 2016 TLE