Hongnan Gao (ghnreigns)

ghnreigns

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Location:Singapore

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Hongnan Gao's repositories

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avatarify

Avatars for Zoom, Skype and other video-conferencing apps.

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cs231n.github.io

Public facing notes page

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deep-learning-wizard

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

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discolight

discolight is a robust, flexible and infinitely hackable library for generating image augmentations ✨

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efficientdet-pytorch

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

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Forward-Ensembling

A wrapper for forward ensembling technique

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ILearnDeepLearning.py

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

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MLAlgorithms

Minimal and clean examples of machine learning algorithms implementations

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pycm

Multi-class confusion matrix library in Python

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cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

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d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 200 universities.

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d2l-pytorch-colab

Automatically Generated Notebooks for Colab

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Linear_Algebra_With_Python

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the most must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

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omniverse

🌌 Omniverse: A cosmic collection of machine learning, deep learning, data science, math, and software engineering explorations. Dive into the universe of knowledge! 🚀

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PeekingDuck

A modular framework built to simplify Computer Vision inference workloads.

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