Deep Shankar Pandey's Projects
Documentation and samples for ArcGIS API for Python
A Pytorch Implementation of Attentive Neural Process
Efficiently computes derivatives of numpy code.
A PyTorch library and evaluation platform for end-to-end compression research
Implementation of the Convolutional Conditional Neural Process
Public facing notes page
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
Installation support for Deep Learning Frameworks for the ArcGIS System
Demo repo for tutotial articles on Opensource.com
Code for the Evidential Conditional Neural Processes
Analysis of evidential models
Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch
A game environment made in opengl.
This is a project on automatic handwriting recognition using different ML techniquiees.
Useful Scripts/Tips for programming
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
Practice of machine learning(Deep Learning with python book)
This repository is to download the MARVEL dataset 2016 for the publication "Gundogdu E., Solmaz B, Yucesoy V., Koc A., Marvel: A Large-Scale Image Dataset for Maritime Vessels, Asian Conference on Computer Vision (ACCV), 2016".
Dynamic Mazes using different Algorithms
A dataset of datasets for learning to learn from few examples
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
Config files for my GitHub profile.
Deep Shankar Pandey's personal website
practice
Test proj
Code for the Units-ML Work