zxf864823150

zxf864823150

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mmcv

OpenMMLab Computer Vision Foundation

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PaddleVideo

Comprehensive, latest, and deployable video deep learning algorithm, including video recognition, action localization, and temporal action detection tasks. It's a high-performance, light-weight codebase provides practical models for video understanding research and application

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MEAL-V2

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks

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AlphaPose_yolovx

AlphaPose_yolovx include yolov3, yolov4, yolov5.

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DCNv2_latest

DCNv2 supports decent pytorch such as torch 1.5+ (now 1.8+)

License:BSD-3-ClauseStargazers:0Issues:0Issues:0

awesome-grounding

awesome grounding: A curated list of research papers in visual grounding

License:MITStargazers:0Issues:0Issues:0

AlgoSolutions

AlgoSolutions - LeetCode+剑指offer+程序员面试金典careerup(cc189)+zoj

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YoungCorrector

基于规则的文本纠错系统。

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CVPR2021-Papers-with-Code

CVPR 2021 论文和开源项目合集

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MVFNet

【AAAI 2021】MVFNet: Multi-View Fusion Network for Efficient Video Recognition

License:Apache-2.0Stargazers:0Issues:0Issues:0

yolov4-pytorch

这是一个YoloV4-pytorch的源码,可以用于训练自己的模型。

License:MITStargazers:0Issues:0Issues:0

R-YOLOv4

This is a PyTorch-based R-YOLOv4 implementation which combines YOLOv4 model and loss function from R3Det for arbitrary oriented object detection.

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DB

A PyTorch implementation of "Real-time Scene Text Detection with Differentiable Binarization".

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ECANet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

License:MITStargazers:0Issues:0Issues:0

TRD

The TRA (TangRui Annotation) method of arbitrary-oriented bounding box

License:MITStargazers:0Issues:0Issues:0

NLP-Interview-Notes

本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料,该资料目前包含 自然语言处理各领域的 面试题积累。

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featuretools

An open source python library for automated feature engineering

License:BSD-3-ClauseStargazers:0Issues:0Issues:0

Forward

a library for high performance deep learning inference on NVIDIA GPUs.

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TNN

TNN: developed by Tencent Youtu Lab and Guangying Lab, a lightweight and high-performance deep learning framework for mobile inference. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework. TNN:由腾讯优图实验室和光影实验室协同打造,移动端高性能、轻量级推理框架,同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化,同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地,欢迎大家参与协同共建,促进TNN推理框架进一步完善。

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Depth_estimation

Deep learning model to estimate the depth of image.

License:MITStargazers:0Issues:0Issues:0

pandarallel

A simple and efficient tool to parallelize Pandas operations on all available CPUs

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CLRS

:notebook:Solutions to Introduction to Algorithms

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coder2gwy

互联网首份程序员考公指南,由3位已经进入体制内的前大厂程序员联合献上。

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code-samples

Source code examples from the Parallel Forall Blog

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atss_pytorch

atss的Pytorch实现,支持多卡分布式训练

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vision

Datasets, Transforms and Models specific to Computer Vision

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TracKit

[ECCV'20] Ocean: Object-aware Anchor-Free Tracking

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imutils

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

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pycaret

An open-source, low-code machine learning library in Python

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