hugochan
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Anytime.AISanta Clara, CA
Pinned Repositories
graph4nlp
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
AI-Papers
Favorite AI papers
BAMnet
Code & data accompanying the NAACL 2019 paper "Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases"
Eye-Tracker
Implemented and improved the iTracker model proposed in the paper "Eye Tracking for Everyone"
Graph2Seq-for-KGQG
Code & data accompanying the paper "Toward Subgraph Guided Knowledge Graph Question Generation with Graph Neural Networks"
GraphFlow
Code & data accompanying the IJCAI 2020 paper "GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension"
IDGL
Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".
KATE
Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"
PFoodReq
Code & data accompanying the WSDM 2021 paper "Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph"
RL-based-Graph2Seq-for-NQG
Code & data accompanying the ICLR 2020 paper "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"
hugochan's Repositories
hugochan/IDGL
Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".
hugochan/BAMnet
Code & data accompanying the NAACL 2019 paper "Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases"
hugochan/KATE
Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"
hugochan/RL-based-Graph2Seq-for-NQG
Code & data accompanying the ICLR 2020 paper "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"
hugochan/PFoodReq
Code & data accompanying the WSDM 2021 paper "Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph"
hugochan/Graph2Seq-for-KGQG
Code & data accompanying the paper "Toward Subgraph Guided Knowledge Graph Question Generation with Graph Neural Networks"
hugochan/GraphFlow
Code & data accompanying the IJCAI 2020 paper "GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension"
hugochan/AcademicWeb
Hugo's academic homepage.
hugochan/alpaca-lora
Instruct-tune LLaMA on consumer hardware
hugochan/ColossalAI
Making large AI models cheaper, faster and more accessible
hugochan/Convert_PPT_to_PDF
This repository has the supporting material for a youtube tutorial on converting an (animated) Powerpoint presentation into an (animated) PDF file. The video link is here:
hugochan/graph4nlp
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP
hugochan/haystack
:mag: Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-4, ChatGPT and alike). Haystack offers production-ready tools to quickly build complex decision making, question answering, semantic search, text generation applications, and more.
hugochan/Hugo-CV
Hugo's CV
hugochan/introRL
Intro to Reinforcement Learning (强化学习纲要)
hugochan/langchain
⚡ Building applications with LLMs through composability ⚡
hugochan/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
hugochan/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
hugochan/notion_widgets
A set of HTML widgets that could be embedded into Notion.so https://www.notion.so/ pages. For more see https://blog.shorouk.dev/notion-widgets-gallery/
hugochan/powerlevel10k
A Zsh theme
hugochan/Prompt-Engineering-Guide
:octopus: Guides, papers, and resources for prompt engineering
hugochan/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
hugochan/rebiber
A simple tool in Python to fix incorrect bib entries automatically, based on their official information from the full ACL anthology and DBLP (for ICLR and other conferences)!
hugochan/research_tao
NLP研究入门之道
hugochan/SciencePlots
Matplotlib styles for scientific plotting
hugochan/stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
hugochan/texar-pytorch
Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation
hugochan/trax
Trax — your path to advanced deep learning
hugochan/ant-design
An enterprise-class UI design language and React UI library
hugochan/grok-1
Grok open release