adritad's Projects
The project is designed to find and understand ways that deep learning is utilized to help and improve image registration, specifically for medical imaging.
Config files for my GitHub profile.
Github code for my personal website.
Open source code for AlphaFold.
Listen, Attend and Spell Implementation
Speech recognition by predicting the phonemes in a recording.
Awesome list of papers that extend Mamba to various applications.
Reading list for research topics in state-space models
Denoising Diffusion Implicit Models
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
A library for graph deep learning research
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
Implemented CNN-based architectures like ConvNeXt to pattern recognition problems that require position invariance.
Few-shot object detection on Valorant agents
Implemented different game theory models to explain the neuroscience of decision-making. The models were being implemented in python.
GearNet and Geometric Pretraining Methods for Protein Structure Representation Learning, ICLR'2023 (https://arxiv.org/abs/2203.06125)
Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces
A toolkit for developing and comparing reinforcement learning algorithms.
Learning with 3D rotations, a hitchhikerโs guide to SO(3) - ICML 2024
Course notebooks and all the code for the first LLM course.
Listing of papers about machine learning for proteins.
Mamba SSM architecture
MD Simulation with OpenMM
Membrane Protein Simulation using VMD
List of papers about Proteins Design using Deep Learning