Piyush Paliwal's repositories
ai4chem_course
EPFL CH-457 "AI for chemistry"
AIPND
Code and associated files for the AI Programming with Python Nanodegree Program
Building-Image-Classifier-using-Transfer-Learning
This repository contains the code required to build image classifier that can classify flower images into different categories.
CH485---Artificial-Intelligence-and-Chemistry
CH485 - Artificial Intelligence and Chemistry
Covid19_Forecasting_using_AI
In this project, Machine Learning models are used to make predictions of covid cases. This project also contains dash board of covid19 cases worldwide.
cs725-hw
Homework assignments for CS725 at IIT Bombay
IITB_ML_workshop
IITB ML workshop
Lattice-Thermal-Conductivity-Data
Supplementary files for our work in the paper "Lattice thermal conductivity An accelerated discovery guided by machine learning" That is published in Applied Materials & Interfaces: https://doi.org/10.1021/acsami.1c17378
Lattice_Thermal_Conductivity_RF
In this project, Machine Learning Model (Random Forest) is build to predict Lattice Thermal Conductivity of compound at various temperature.
ML_Genre_Classification
This repo contains Machine Learning project code on Classification of Text paragraph into Fiction or Nonfiction class. ML model is trained on Brown Corpus data set.
Molecular_Simulations
This repo contains three molecular simulations projects at beginner level.
Physics_Coupled_Anharmonic_Oscillators
This is mini team project carried out in course of ''Computational Thinking through Physics.''
Research-Starter-Kit
Basically listing out how to get some basic logistics out of the way
Project-Predict-Bike-Sharing-Demand-with-AutoGluon
This is AWS-Udacity (Foundation of Machine Learning) Project that is required for Course.
Summer-Analytics-2024-by-IIT-Guwahati
This repository contains code written to participate in Hackathon organized by IIT Guwahati as a part of Summer Analytics 2024.
Transfer-Learning-for-Catalysis
This repository contains ML code where Transfer Learning approach is used to train deep learning model to predict yield of reactions.