Rishabh Anand (rish-16)

rish-16

Geek Repo

Company:@NUSSOC @caraml-group

Location:Singapore

Home Page:https://rish-16.github.io/

Twitter:@rishabh16_

Github PK Tool:Github PK Tool


Organizations
dscntu
MLBlocks-AI
NUSSOC

Rishabh Anand's repositories

sight

👁 Sightseer: TensorFlow library for state-of-the-art Computer Vision and Object Detection models

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Metroplex

Using Simulated Annealing, Hill Climbing, and Genetic Algorithms to recreate images using shapes 🤖 🧬

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cs4248-project

Code for CS4248 Group Project (AY22/23 Sem 2)

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CommandF

Darkflow integration to CommandF

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rish-16.github.io

Source code for my personal website

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cs3216.github.io

Official homepage for CS3216

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gnn-training-tricks

Analysing the impact of training tricks of GNN optimisation

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ma4270-project

Source code for MA4270: Data Modelling and Computation on Transformers and Nadaraya-Watson Kernel Regression

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USalign

Universal Structure Alignment of Monomeric and Complex Structure of Nucleic Acids and Proteins

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cs5242-wgan

PyTorch implementation of a Wasserstein GAN for CS5242

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DiffDock

Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

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DiffSBDD

A Euclidean diffusion model for structure-based drug design.

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DiffSTG

Code for DiffSTG

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edm_pyg

[WIP] PyTorch Geometric wrapper of Equivariant Diffusion Models (EDM) for geometric graph generation

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EEGSDE

This is the official implementation for Equivariant Enengy-guided SDE for Inverse Molecule Design (ICLR 2023)

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gRNAde

gRNAde: Geometric Deep Learning for RNA Design

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gvp-pytorch

Geometric Vector Perceptrons --- a rotation-equivariant GNN for learning from biomolecular structure

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lion-gnn-benchmarking

Benchmarking the recent Lion optimiser for Graph Neural Networks

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mda2rdk

Python library for molecule interchangeability between RDKit Mol and MDAnalysis Universe

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ml-drug-discovery-tldrs

TLDRs for ML in Drug Discovery papers

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notes-to-cs-freshmen-from-the-future

Notes to (NUS) Computer Science Freshmen, From The Future (Original by @ejamesc)

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nss2001-netlogo-experiments

Code used to obtain statistics from NetLogo simulations for NSS2001D (AY22/23 Sem 2)

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protein-fm

Fast protein backbone generation with SE(3) flow matching.

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pytorch_geometric

Graph Neural Network Library for PyTorch

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RhoFold

RhoFold+: Accurate RNA 3D structure prediction using a language model-based deep learning approach

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se3_diffusion

Implementation for SE(3) diffusion model with application to protein backbone generation

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toy-eg-sde

Minimal PyTorch implementation of "Energy-guided Stochastic Differential Equations" for generative style transfer (https://arxiv.org/abs/2207.06635)

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