maxsunyc (sunyongcong)

sunyongcong

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Location:China

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maxsunyc's starred repositories

crnn.pytorch

Convolutional recurrent network in pytorch

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ImageMagick

🧙‍♂️ ImageMagick 7

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Neural-IMage-Assessment

A PyTorch Implementation of Neural IMage Assessment

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DeepFace

Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.

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face_recognition

The world's simplest facial recognition api for Python and the command line

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insightface

State-of-the-art 2D and 3D Face Analysis Project

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tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

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MNN

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

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ELL

Embedded Learning Library

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ParlAI

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

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onnx

Open standard for machine learning interoperability

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CenterNet

Object detection, 3D detection, and pose estimation using center point detection:

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Deformable-ConvNets

Deformable Convolutional Networks

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openMVG

open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

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computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

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labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

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Towards-Realtime-MOT

Joint Detection and Embedding for fast multi-object tracking

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fastbook

The fastai book, published as Jupyter Notebooks

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CenterTrack

Simultaneous object detection and tracking using center points.

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yolact

A simple, fully convolutional model for real-time instance segmentation.

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HRNet-Semantic-Segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

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LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

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SqueezeNet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

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deep-residual-networks

Deep Residual Learning for Image Recognition

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deep-learning-model-convertor

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

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py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

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Bag_of_Tricks_for_Image_Classification_with_Convolutional_Neural_Networks

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

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Reproducible-Deep-Compressive-Sensing

Collection of reproducible deep learning for compressive sensing

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awesome-deep-learning-papers

The most cited deep learning papers

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deep_learning_object_detection

A paper list of object detection using deep learning.

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