yashasvi-ranawat

Pinned Repositories

dscribe
DScribe is a python package for creating machine learning descriptors for atomistic systems.
Language:C++383 20 9786
MutualInformation
Mutual Information codes
Language:Python30 9 08
ProbeParticle_workflow
A workflow for double ProbeParticle method using OpenCL and complex_tip branch of ProbeParticle method
Language:Jupyter Notebook1 4 01
Runner
Tools to easly schedule atomistic simulation workflow
Language:Python1 7 01
Asset_3D
Deployable text to 3D asset generator using [shap-e](https://github.com/openai/shap-e)
Language:Python00
ClusGeo2.0
Tools for Cluster Surfaces
Language:C++11
dft_setup_utilities
Setup many CP2K calculations at the same time
Language:Shell10
Graph-mol
Transformer Graph network for molecule property prediction
Language:Python11
MutualInformation
Mutual Information codes
Language:Python10
shap-e
Generate 3D objects conditioned on text or images
Language:Python10

yashasvi-ranawat's Repositories

yashasvi-ranawat/ClusGeo2.0
Tools for Cluster Surfaces
Language:C++11
yashasvi-ranawat/dft_setup_utilities
Setup many CP2K calculations at the same time
Language:Shell10
yashasvi-ranawat/Graph-mol
Transformer Graph network for molecule property prediction
Language:Python11
yashasvi-ranawat/MutualInformation
Mutual Information codes
Language:Python10
yashasvi-ranawat/shap-e
Generate 3D objects conditioned on text or images
Language:Python10
yashasvi-ranawat/Asset_3D
Deployable text to 3D asset generator using [shap-e](https://github.com/openai/shap-e)
Language:Python00
yashasvi-ranawat/Attention-Gated-Networks
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
Language:Python00
yashasvi-ranawat/bitcash
BitCash: Python 3 Bitcoin Cash Library (fork of ofek's Bit)
Language:Python01
yashasvi-ranawat/DemoIris
Language:Jupyter Notebook00
yashasvi-ranawat/describe
DESCRIBE is a python package for creating machine learning descriptors for atomistic systems.
Language:Python00
yashasvi-ranawat/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Language:C++00
yashasvi-ranawat/forking-workflow-exercise
CodeRefinery forking exercise
yashasvi-ranawat/msd_pytorch
A Pytorch implementation of the mixed-scale dense network described in https://doi.org/10.1073/pnas.1715832114
yashasvi-ranawat/nvim
nvim setup
Language:Lua
yashasvi-ranawat/Optimiser
Oprtimiser for mutli-dimension, multi-objective optimisation, using hard parito ranking.
Language:Python
yashasvi-ranawat/ppafm
Classical force field model for simulating atomic force microscopy images.
Language:Python0 0
yashasvi-ranawat/pytest-example-fedor
Language:Python
yashasvi-ranawat/PyVAFM
Python Virtual Atomic Force Microscope
Language:Python
yashasvi-ranawat/revolution_py
python implementation of the game revolution
Language:Python
yashasvi-ranawat/Runner
Tools to easly schedule atomistic simulation workflow
yashasvi-ranawat/scicomp-docs
Aalto scientific computing guide: former Triton user guide + more info
Language:Python
yashasvi-ranawat/SOAP_LIGHT
Fast light SOAP
Language:C++
yashasvi-ranawat/SoapNN
Attempting to use Neural Network with SOAP
Language:C++
yashasvi-ranawat/test_github_workflow
Language:Python1
yashasvi-ranawat/viabel
Efficient, lightweight, variational inference approximation bounds
Language:Jupyter Notebook
yashasvi-ranawat/vim-config
my vim config to share amongst my machines
Language:Vim script
yashasvi-ranawat/word-count
Example project we use in the reproducibility and documentation lessons.