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👋 Hi!, I'm Duc-Thuc Pham | AI Engineer

Slow, Steady, Focused!

  • Skills: AI (PyTorch, Tensorflow, DNN), Computer Vision, Web. Mostly use: Python, Javascript.
  • DayTime Job: AI Engineer at Creative Force.
  • Blogger at around-ai.com ✍.
  • LinkedIn: thuc-pham.
  • Twitter (X): thuc248997.

Open Source Projects:

thuc248997's Stats thuc248997's Stats

Duc-Thuc Pham's Projects

90daysofdevops icon 90daysofdevops

This repository is my documenting repository for learning the world of DevOps. I started this journey on the 1st January 2022 and I plan to run to March 31st for a complete 90-day romp on spending an hour a day including weekends to get a foundational knowledge across a lot of different areas that make up DevOps.

anylabeling icon anylabeling

Effortless AI-assisted data labeling with AI support from Segment Anything and YOLO!

auto-gpt icon auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

conda-move icon conda-move

Move environments from an existing conda installation to another directory

d2l-en icon d2l-en

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks. Adopted at 140 universities from 35 countries.

deep-learning-containers icon deep-learning-containers

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

deep-learning-in-production icon deep-learning-in-production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

deeplabcut icon deeplabcut

Markerless pose estimation of user-defined features with deep learning for all animals, including humans

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

docface icon docface

Face recognition system for ID photos

gligen icon gligen

Open-Set Grounded Text-to-Image Generation

hum2song icon hum2song

zalo AI challenge 2021 task hum to song

interviews.ai icon interviews.ai

This book was written for you: an aspiring data scientist with a quantitative background, facing down the gauntlet of the interview process in an increasingly competitive field. For most of you, the interview process is the most significant hurdle between you and a dream job.

jina icon jina

🔮 Build multimodal AI services via cloud native technologies · Neural Search · Generative AI · Cloud Native

lora-tools icon lora-tools

Repo is what I learned about lora and rewrote it to use according to my style

mlops icon mlops

Machine Learning Toolset for Houdini

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