Rishabh Ranjan's repositories
greed-expts
experiments from the paper "GREED: A Neural Framework for Learning Graph Distance Functions"
rishabh-ranjan.github.io
personal website
nlp-for-search
code for internship at Samsung South Korea on "Language Models for Semantic Search in Full-Text Search Engines"
calibration
Simple implementation of Temperature and Vector Scaling in python
cifar-10-100n
Human annotated noisy labels for CIFAR-10 and CIFAR-100. The website of CIFAR-N is available at http://www.noisylabels.com/.
col380-parallel
Assignments for COL380 Introduction to Parallel Programming
col870-deep-learning
COL870 (Spl. Topics in Machine Learning -- Deep Learning) 2021 Holi Semester Assignments
CombOptNetJAX
Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
download-manager
A multi-connection download manager implemented for a "Computer Networks" course assignment.
HPC-IIT-Delhi
HPC Details and Use of IIT Delhi
lightning-hydra-template
PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡
LPMP
Solving LPs with convergent message passing
mtq315-xai
MTQ315 Seminar Course Project on "Explaining Neural Models for Image Classification"
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
pytorch_geometric
Graph Neural Network Library for PyTorch
rq
Simple job queues for Python
SOP
Official Implementation of Robust Training under Label Noise by Over-parameterization
temperature_scaling
A simple way to calibrate your neural network.
vim-python-sql
A very simple plugin to enable SQL syntax highlighting inside strings in a Java file.
WellTunedSimpleNets
[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
wilds
A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
yelp-review
Yelp Review Rating Prediction