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Name: Kay
Type: User
Company: The University of New South Wales
Bio: If life gives you lemons make lemonade
Location: Sydney
Name: Kay
Type: User
Company: The University of New South Wales
Bio: If life gives you lemons make lemonade
Location: Sydney
A comprehensive list of PAPERS, CODEBASES, and, DATASETS on Decision Making using Foundation Models including LLMs and VLMs.
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
A simple and elegant Jekyll theme for an academic personal homepage
CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.
Conversational recommender systems
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Data distillation for recommender systems. Shows equivalent performance with 2-3 orders less data.
legend
Deep Reinforcement Learning for Recommender Systems
EasyTransfer is designed to make the development of transfer learning in NLP applications easier.
Learning Type-Aware Embeddings for Fashion Compatibility
Code and dataset for CVPR 2019 paper "Learning Binary Code for Personalized Fashion Recommendation"
Efficient Retrieval Augmentation and Generation Framework
Paper List for In-context Learning 🌷
Tips for Writing a Research Paper using LaTeX
Course with a roadmap and notebooks to get into Large Language Models (LLMs).
This notebook is to develop a pipeline for generating plots using seaborn. Fig sizes/fonts/axises are tuned for paper submissions.
Official repository for "MMConv: An Environment for Multimodal Conversational Search across Multiple Domains"
A Toolkit for Neural Review-based Recommendation models with Pytorch.
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
ODE2VAE: Deep generative second order ODEs with Bayesian neural networks
This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.
Repository for PAI-BPR a state of the art Fashion recommendation system capturing user personal preference and attribute interpretability
the datasets of the paper POG
some academic posters as references. May we have in-person poster session soon!
A template for PyTorch projects.
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
A Configurable Recommender Systems Simulation Platform
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
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.