surya-narayanan Goto Github PK

aahladmanas.github.io

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

cs245-as1

Student files for CS245 Programming Assignment 1: In-memory data layout

cs245-as2-public

da-week

Data Analytics Week at the AWS Loft

deep-learning-to-detect-tumors-in-ct-scans

Using Convolutional Neural Nets to detect malignant tumors on CT Scans

dmshanmugam.github.io

personal website

epierson9.github.io

Build a Jekyll blog in minutes, without touching the command line.

hf-notebooks

Notebooks using the Hugging Face libraries 🤗

imdb-ml-analysis

Analysing the IMDB dataset on Kaggle with Big-Query

index-baselines

Simple baselines for "Learned Indexes"

instantid

InstantID : Zero-shot Identity-Preserving Generation in Seconds 🔥

keras_dataloader

DataLoader for keras

lightning-flash

Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning.

meta-learning-deep-leision

Using Meta Learning to help with long tailed distributions on Deep Leision Dataset.

minimal

Minimal is a Jekyll theme for GitHub Pages

nn-svg

Publication-ready NN-architecture schematics.

nuclei_segmentation

This is the source code for training and testing our three class CNN algorithm for generalized nuclei segmentation (IEEE TMI paper) using Torch.

p_tqdm

Parallel processing with progress bars

pathml-1

Tools for computational pathology

pytorch-grad-cam

PyTorch implementation of Grad-CAM

simulating-the-number-of-attackers-needed-to-conquer-a-set-of-defenders-in-risk

Simulating the number of attackers needed to conquer a set of defenders in Risk

staintools

Tools for tissue image stain normalisation and augmentation in Python 3

statannot

add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot

surya-narayanan

Config files for my GitHub profile.

surya-narayanan.github.io

Personal webbie

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.