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Name: Krishna Prasad Neupane
Type: User
Bio: Ph.D. Student @RIT
Name: Krishna Prasad Neupane
Type: User
Bio: Ph.D. Student @RIT
A novel dynamic recommendation model that focuses on users who have interactions in the past but turn relatively inactive recently
Web version of “Neuroevolution of Self-Interpretable Agents” (https://arxiv.org/abs/2003.08165)
Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
🧠🗼
[WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"
This repo contain the syllabus of the Hugging Face Deep Reinforcement Learning Class.
Krishna's Personal Website
LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21
MERITS : Medication Recommendation for Chronic Disease with Irregular Time-Series
Music recommendations
Paper list of NLP for recommender systems
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
Reinforced Recommendation toolkit built around pytorch 1.7
Best Practices on Recommendation Systems
SSLRec: A Self-Supervised Learning Library for Recommendation
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.