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class MachineLearningEngineer:

    def __init__(self):
        self.name = 'Tuan-Vu Trinh'
        self.position = 'AI/ML Engineer'

    def say_hi(self):
        print("Thanks for dropping by, hope you find some of my work interesting.")
    

if __name__ == '__main__':
    me = MachineLearningEngineer()
    me.say_hi()

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Tuan-Vu Trinh '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.

aidea icon aidea

AIdea ๆ˜ฏไธ€ๆฌพๆ”ฏๆŒ GPT ไปฅๅŠๅ›ฝไบงๅคง่ฏญ่จ€ๆจกๅž‹้€šไน‰ๅƒ้—ฎใ€ๆ–‡ๅฟƒไธ€่จ€็ญ‰๏ผŒๆ”ฏๆŒ Stable Diffusion ๆ–‡็”Ÿๅ›พใ€ๅ›พ็”Ÿๅ›พใ€ SDXL1.0ใ€่ถ…ๅˆ†่พจ็Ž‡ใ€ๅ›พ็‰‡ไธŠ่‰ฒ็š„ๅ…จ่ƒฝๅž‹ APPใ€‚

animateddrawings icon animateddrawings

Code to accompany "A Method for Animating Children's Drawings of the Human Figure"

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

๐Ÿง‘โ€๐Ÿซ 59 Implementations/tutorials of deep learning papers with side-by-side notes ๐Ÿ“; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), ๐ŸŽฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐Ÿง 

applied-ml icon applied-ml

๐Ÿ“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.

audio2photoreal icon audio2photoreal

Code and dataset for photorealistic Codec Avatars driven from audio

basicsr icon basicsr

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

buzz icon buzz

Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.

computer-vision-notebooks icon computer-vision-notebooks

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

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