Gary Gege (Gary-code)

Gary-code

Geek Repo

Company:SCUT

Location:Guangzhou, China

Home Page:https://gary-code.github.io/

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Gary Gege's repositories

CS224n-2021

slides and personal solution

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MLC-Notes

Notes for Machine Learning Compilation

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MicroBlog

A personal Blog System which is designed for the Java Spring learner.

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CS149-Parallel-Computing

Parallel Computing from CMU by prof. Kayvon Fatahalian

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github-readme-stats

:zap: Dynamically generated stats for your github readmes

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Sinkhorn-Network

Sinkhorn Network implementation with pytorch. Refer to paper in ICLR 2018: https://arxiv.org/pdf/1802.08665.pdf

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VQA-Survey

Update 2022

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2021_bytedance_security_ai_track1_open

🏅 2021 字节跳动安全 AI 挑战赛赛道 7th 基于文本和多模态数据的风险识别(色情导流用户识别)

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Awesome-System-for-Machine-Learning

A curated list of research in machine learning systems (MLSys). Paper notes are also provided.

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Awesome-Visual-Captioning

This repository focus on Image Captioning & Video Captioning & Seq-to-Seq Learning & NLP

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causal-text-papers

Curated research at the intersection of causal inference and natural language processing.

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Causal_Reading_Group

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

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Causality4NLP_Papers

A reading list for papers on causality for natural language processing (NLP)

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cs-self-learning

excellent work

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DL-NLP-Readings

:sunglasses: Nice Reading Lists of Deep Learning and Natural Language Processing

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hrq-vae

Hierarchical Sketch Induction for Paraphrase Generation (Hosking et al., ACL 2022)

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KENLG-Reading

Author: Wenhao Yu (wyu1@nd.edu). ACM Computing Survey'22. Reading list for knowledge-enhanced text generation, with a survey.

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KGs-Survey

This is a repository of knowledge graphs survey paper that will be updated periodically.

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latex_paper_writing_tips

Tips for Writing a Research Paper using LaTeX

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lihang-statistical

李航老师统计学习方法第二版python代码实现,每一小节都是可运行的笔记本。

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ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。

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NExT-OE

NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions (CVPR'21)

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paper-reading-1

深度学习经典、新论文逐段精读

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poster_template

some academic posters as references. May we have in-person poster session soon!

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RSSHub

🍰 Everything is RSSible

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Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

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TDN

[CVPR 2021] TDN: Temporal Difference Networks for Efficient Action Recognition

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VideoMAE

VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

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