Soumyanil Banerjee's repositories
Deep_Relational_Reasoning_Epilepsy
Official TensorFlow implementation of Deep Relational Reasoning for prediction of language impairments and seizure outcomes
DualSelfDistillation
Official PyTorch implementation of Dual Self-Distillation (DSD) in U-shaped Networks for Medical Image Segmentation
magmsforEZprediction
Official PyTorch implementation of Sequence-Agnostic Model with Cross-Sequence Distillation for SOZ Localization
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
attention-is-all-you-need-paper
Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information processing systems. 2017.
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
Awesome-Diffusion-Models-in-Medical-Imaging
Diffusion Models in Medical Imaging
soumbane.github.io
Personal Website
tcav
Code for the TCAV ML interpretability project
cav-keras
Concept activation vectors for Keras
CV_notebooks
Set of Jupyter Notebooks linked to Roboflow Blogpost and used in our YouTube videos.
Deep-Learning-In-Production-1
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
Diffusion-Models-in-Vision-A-Survey
This repository categorizes the papers about diffusion models applied in computer vision according to their target task. The classifcation is based on our survey: https://arxiv.org/abs/2209.04747v1
fastbook
The fastai book, published as Jupyter Notebooks
GenerativeModels
MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications
Graph_Sampling
Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.
histocartography
Histocartography is a framework bringing together AI and Digital Pathology
iMIMIC-RCVs
This repository contains the code for implementing Bidirectional Relevance scores for Digital Histopathology, which was used for the results in the iMIMIC workshop paper: Regression Concept Vectors for Bidirectional Explanations in Histopathology
LiteratureDL4Graph
A comprehensive collection of recent papers on graph deep learning
machine-learning-interview-enlightener
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
MedicalZooPytorch
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Multi-Scale-1D-ResNet
pytorch code of multi scale 1d resnet, we hope it will help your research
pytorch-GAT
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts.
pytorch_geometric
Graph Neural Network Library for PyTorch
pytorch_geometric_temporal
A Temporal Extension Library for PyTorch Geometric
Sherlock
This repository contains experiments for different publications at the intersection of Computer Vision and Computer Security.
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.