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Name: Gary Gege
Type: User
Company: SCUT
Bio: Multi-modal and deep learning researcher 🤣
Location: Guangzhou, China
Name: Gary Gege
Type: User
Company: SCUT
Bio: Multi-modal and deep learning researcher 🤣
Location: Guangzhou, China
🏅 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)
2021字节跳动安全AI挑战赛赛道一亚军—— 基于文本和多模态数据的风险识别 题目名称:色情导流用户识别
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
ADWE-CNN
Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)
A curated list of research papers in exploring causality in vision. Link to the code if available is also present.
A curated list of Continual Learning papers and BibTeX entries
AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets
🔥🔥🔥Latest Papers, Codes and Datasets on Large Video Models
:sunglasses: List of papers about Large Multimodal model
A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
This repository focus on Image Captioning & Video Captioning & Seq-to-Seq Learning & NLP
A curated list of Visual Question Answering(VQA)(Image/Video Question Answering),Visual Question Generation ,Visual Dialog ,Visual Commonsense Reasoning and related area.
A curated list of prompt-based paper in computer vision and vision-language learning.
BERT-based Seq2Seq architecture trained on SQuAD to generate questions given a text and an answer.
Curated research at the intersection of causal inference and natural language processing.
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.
A reading list for papers on causality for natural language processing (NLP)
A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
excellent work
Parallel Computing from CMU by prof. Kayvon Fatahalian
slides and personal solution
[TCSVT 2024] The released code of paper "Video Question Generation for Dynamic Changes"
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
:sunglasses: Nice Reading Lists of Deep Learning and Natural Language Processing
Video Question Answer Implementation for the journal paper "DualVGR: A Dual-Visual Graph Reasoning Unit for Video Question Answering" (Jianyu et al., IEEE Transactions on Multimedia (TMM. 2021)
fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
GaryChen's Website
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.