Kshitij Tayal's Projects
Code to reproduce the experiments from the paper.
The offical notes of Andrew Ng Machine Learning in Stanford University
A curated list of resources for Learning with Noisy Labels
List of satellite imagery datasets with annotations for computer vision and deep learning
This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to Fully Supervised Performance"
A repo for data science related questions and answers
FastGCN for inductive text classification
Simple Python SDK for using GBDX.
links to conference publications in graph-based deep learning
PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Public repository for the paper "Learning Sound Event Classifiers from Web Audio with Noisy Labels"
Jupyter metapackage for installation, docs and chat
A repository for storing and documenting the components used in WINGS workflows in the project
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Code to reproduce the experiments from the paper.
PRML algorithms implemented in Python
Python Examples for Remote Sensing
Winning Solutions from SpaceNet Road Detection and Routing Challenge
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water
Materials for SDM 2023 tutorial: Augmentation Methods for Graph Learning