Pinned Repositories
code-soup
This is a collection of algorithms and approaches used in the book adversarial deep learning
Alzheimer_prediction
Ambulance-routing-ACO
Vehicle Routing Problem using time windows implemented using Ant Colony Optimization.
awesome-computer-vision
A curated list of awesome computer vision resources
Awesome-vehicle-re-identification
Awesome Vehicle Re-identification
CompactTransformers
Implementation of "Escaping the big data paradigm with Compact Transformers" by Ali Hassani et al. in Keras
Intro-to-ml-dl
Course material for "introduction to Machine Learning and Deep Learning"
LMLF
Code for "Generating Novel Leads for Drug Discovery Using LLMs with Logical Feedback" -- Accepted at AAAI 2024
MolPropPred
Predicting properties of small molecules using MPNN on QM9 dataset
Self-supervised_Barlow-Twins-on-STL-10-Dataset
Copy of assignments submitted to the course-work of DL_425
Shreyas-Bhat's Repositories
Shreyas-Bhat/CompactTransformers
Implementation of "Escaping the big data paradigm with Compact Transformers" by Ali Hassani et al. in Keras
Shreyas-Bhat/Intro-to-ml-dl
Course material for "introduction to Machine Learning and Deep Learning"
Shreyas-Bhat/MolPropPred
Predicting properties of small molecules using MPNN on QM9 dataset
Shreyas-Bhat/LMLF
Code for "Generating Novel Leads for Drug Discovery Using LLMs with Logical Feedback" -- Accepted at AAAI 2024
Shreyas-Bhat/Alzheimer_prediction
Shreyas-Bhat/awesome-computer-vision
A curated list of awesome computer vision resources
Shreyas-Bhat/MFR
Explainable mask face recognition using Xcos method and ablation cam
Shreyas-Bhat/react
Shreyas-Bhat/restaurant-
Shreyas-Bhat/SAiDL-Summer-Assignment-2021
Shreyas-Bhat/Shreyas-Bhat
My personal repository
Shreyas-Bhat/SNLI
Natural language inference task on SNLI and carried out POS tag probing
Shreyas-Bhat/STL10
Comparing different learning paradigms on the STL 10 dataset and carrying further analysis in each method
Shreyas-Bhat/Self-supervised_Barlow-Twins-on-STL-10-Dataset
Copy of assignments submitted to the course-work of DL_425
Shreyas-Bhat/brain_mets
A pipeline for radiogenomic classification of preprocessed brain metastases images
Shreyas-Bhat/code-soup
This is a collection of algorithms and approaches used in the book adversarial deep learning
Shreyas-Bhat/ContinualLearning
Continual Learning
Shreyas-Bhat/course-content
Content for NMA Computational Neuroscience course
Shreyas-Bhat/course-content-dl
Shreyas-Bhat/Introduction-and-Applications-of-Machine-Learning
Shreyas-Bhat/minimal-diffusion
A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)
Shreyas-Bhat/NeuralLog
Shreyas-Bhat/PLM4CL
ICLR 2022
Shreyas-Bhat/saliency_estimation
Python library to estimate saliency
Shreyas-Bhat/score_sde_pytorch
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Shreyas-Bhat/semantic-parsing.github.io
Website for "A Survey of Modeling and Data resources for Semantic Parsing"
Shreyas-Bhat/Shreyas-Bhat.github.io
homepage
Shreyas-Bhat/SLiCE
Subgraph Based Learning of Contextual Embedding
Shreyas-Bhat/Summer-2022-Data-Science-Intern-Challenge
Shreyas-Bhat/xcos