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๐Ÿ‘‹Hi there...

I'm Zin Moe, a self-taught Computer Vision Engineer with 4+ years of industrial experience and currently working at ailytics. I'm keen interested in building and training SOTA deep learning models from scratch with custom datasets.

I have also a wide experience in these areas of computer vision and audio projects:

  • Human Action Recognition
  • Video Background Removal
  • Face Recognition (Coming Soon)
  • Object Detection (Coming Soon)
  • Semantic Segmentation (Coming Soon)
  • Human Pose Estimation (Coming Soon)
  • Object Tracking (Coming Soon)
  • Speaker Diarization (Coming Soon)

๐Ÿ•น๏ธ Tools

pytorch ' Onnx ' nvidia ' docker

OpenCV ' Numpy ' Pandas ' scikit-learn

CV-ZMH's github stats

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ZIN's Projects

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

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

artificial-intelligence-deep-learning-machine-learning-tutorials icon artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

d2l-pytorch icon d2l-pytorch

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

ivy icon ivy

The Unified Machine Learning Framework

mask2former icon mask2former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

pytorch-tutorial icon pytorch-tutorial

Build your neural network easy and fast, ่Žซ็ƒฆPythonไธญๆ–‡ๆ•™ๅญฆ

scenic icon scenic

Scenic: A Jax Library for Computer Vision Research and Beyond

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