8000 anminhhung (An Minh Hùng) / Following · GitHub
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316 followers · 212 following
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Achievements

Achievement: Pull SharkAchievement: StarstruckAchievement: Arctic Code Vault Contributor

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@ALucek
Adam Łucek ALucek

NYC

@anakin87
Stefano Fiorucci anakin87
AI/SW Engineer/Explorer 🧑‍🚀

@deepset-ai Italy

@bangoc123
Ngoc Ba bangoc123
ProtonX Founder
@DefTruth
DefTruth DefTruth
AI Infra Engineer @vipshop, Owner @xlite-dev, Prev @PaddlePaddle🤖

@xlite-dev, @vipshop Guangzhou, China

@cagliostrolab
Cagliostro Labs cagliostrolab
A Virtual AI Lab where Tech Otakus turn dreams into reality.

Indonesia

@openai
OpenAI openai
@lucidrains
Phil Wang lucidrains
Working with Attention. It's all we need

San Francisco

@Quan-Sun
Quan Sun Quan-Sun
Researcher and Engineer

BAAI Beijing

@tridao
Tri Dao tridao
Assistant Professor @ Princeton CS, machine learning & systems

Princeton, NJ

@qubvel
Pavel Iakubovskii qubvel

AI Engineer @ Praktika.ai | ex HuggingFace 🤗

@csm-kr
csm-kr csm-kr
Machine Learning / Object Detection / Neural Radiance Fields/ 360 image representation/

Chung-Ang University / CVML lab Seoul, Republic of Korea

@timothybrooks
Tim Brooks timothybrooks
Research Scientist at OpenAI

@openai

@SlongLiu
Shilong Liu SlongLiu
Postdoc @ Princeton University. PhD of Tsinghua University. Homepage: lsl.zone

Princeton University New Jersey

@palmdong
Xiaoyu Dong palmdong
Postdoc. Multi-Modal Vision; Low-Level Vision; Remote Sensing.

The University of Tokyo

@modelscope
ModelScope modelscope
Model-as-a-Service in the making: bring accessible AI to all.
@zengyh1900
YANHONG ZENG zengyh1900
Researcher / Engineer. Scaling ideas through engineering.

Ant Group Hangzhou, China

@datquocnguyen
Dat Quoc Nguyen datquocnguyen

Vietnam

@VietnamAIHub
VietnamAI_Hub VietnamAIHub
@songhan
Song songhan
Song Han is an associate professor at MIT EECS and distinguished scientist at NVIDIA. His research interest is efficient AI computing.

MIT, NVIDIA

@qq456cvb
Yang You qq456cvb
Postdoc in Prof. Leonidas Guibas' lab, at Stanford. stay simple, stay naive. 理论和工程两手抓，都要硬。

Stanford University Stanford

@SWKoreaBME
Sangwook SWKoreaBME
Medical Image Analysis + AI Multi-Modal Multi-Task Learning

University of Toronto Toronto, Canada

@vinthony
Xiaodong Cun vinthony
Building @GVCLab

GVC Lab, Great Bay University Dongguan, China

@haotian-liu
Haotian Liu haotian-liu

xAI