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Ricardo M. Shi's Projects

awesome-attention-mechanism-in-cv icon awesome-attention-mechanism-in-cv

:punch: CV中常用注意力模块;即插即用模块;ViT模型. PyTorch Implementation Collection of Attention Module and Plug&Play Module

chatgpt-on-wechat icon chatgpt-on-wechat

使用ChatGPT搭建微信聊天机器人,基于ChatGPT3.5 API和itchat实现。Wechat robot based on ChatGPT, which using OpenAI api and itchat library.

chatgpt_academic icon chatgpt_academic

科研工作专用ChatGPT拓展,特别优化学术Paper润色体验,支持自定义快捷按钮,支持markdown表格显示,Tex公式双显示,代码显示功能完善,新增本地Python工程剖析功能/自我剖析功能

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被60个国家的400所大学用于教学。

drn icon drn

PyTorch implementation for ACL-IJCNLP 2021 Findings paper: Discriminative Reasoning for Document-level Relation Extraction

eider icon eider

Source code for paper "EIDER: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion", ACL Findings, 2022

fucking-algorithm icon fucking-algorithm

刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.

hgb icon hgb

Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.

keras-gan icon keras-gan

Keras implementations of Generative Adversarial Networks.

lsr icon lsr

Pytorch Implementation of our ACL 2020 Paper "Reasoning with Latent Structure Refinement for Document-Level Relation Extraction"

milr icon milr

EMNLP 2022 paper: Boosting Document-Level Relation Extraction by Mining and Injecting Logical Rules

orthoimprovecond icon orthoimprovecond

ECCV22 paper "Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality" and T-PAMI extension

prgc-syc icon prgc-syc

you can run it in train.py & eceaulate.py freely.

pytorch-gan icon pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-gat icon pytorch-gat

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

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