Cong Vo's repositories

funicorn

Funicorn - Simplified Deep Learning Inference Service

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zaailabcorelib

zaailabcorelib

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Face-Detector-1MB-with-landmark

1M人脸检测模型(含关键点)

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3DDFA

The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

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A-Light-and-Fast-Face-Detector-for-Edge-Devices

A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......

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ATSS-EfficientDet-PyTorch

ATSS-EfficientDet implemented in PyTorch, outperforming the original EfficientDet. Weights are released.

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avatarify

Avatars for Zoom and Skype

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awesome-artificial-intelligence-guidelines

This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

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awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

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CDCN

Central Difference Convolutional Networks

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cml

CML - Continuous Machine Learning or CI/CD for ML

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ddd-dynamic

Domain Driven Design in Python, Ruby and other dynamic languages resources

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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librealsense

Intel® RealSense™ SDK

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light-LPR

Light-LPR是一个瞄准可以在嵌入式设备、手机端和普通的x86平台上运行的车牌识别开源项目,旨在支持各种场景的车牌识别,车牌字符识别准确率超99.95%,综合识别准确率超过99%,支持目前国内所有的车牌识别,觉得好用的一定要加星哦。

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ManimMiniProjects

Short animations using Manim

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medium-unlimited

A browser extension to read medium.com articles for free without membership.

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modern-cpp-template

A template for modern C++ projects using CMake, clang-format and unit testing, with support for downstream inclusion

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Monk_Gui

A Graphical user Interface for deep learning and computer vision over Monk Libraries

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PRML

PRML algorithms implemented in Python

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py-videocore

Python library for GPGPU on Raspberry Pi

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service-streamer

Boosting your Web Services of Deep Learning Applications.

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