feynman233's starred repositories

BUAAThesis

北航研究生学位论文模板(Word+LaTeX).

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awesome-image-registration

image registration related books, papers, videos, and toolboxes

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SlowFast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

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ccaFuse

Feature fusion using Canonical Correlation Analysis (CCA)

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dcaFuse

Feature fusion using Discriminant Correlation Analysis (DCA)

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Efficient-Segmentation-Networks

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

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DeepLabV3Plus-Pytorch

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

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Real-Time-Semantic-Segmentation

lightweight and efficient cnn for semantic segmentation, my blog address:

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LEDNet

This is an unofficial implemention of LEDNet https://arxiv.org/abs/1905.02423

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LightWeight_RefineNet

Repository for modified LightWeight-RefineNet (for Semantic Segmentation)

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UNet-family

Paper and implementation of UNet-related model.

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ChromeAppHeroes

🌈谷粒-Chrome插件英雄榜, 为优秀的Chrome插件写一本中文说明书, 让Chrome插件英雄们造福人类~ ChromePluginHeroes, Write a Chinese manual for the excellent Chrome plugin, let the Chrome plugin heroes benefit the human~ 公众号「0加1」同步更新

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bye

bye to yesterday and do yourself

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Meta-Learning-Papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

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YOLOv3_TensorFlow

Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.

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PyTorch_Tutorial

《Pytorch模型训练实用教程》中配套代码

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TensorFlow-cn

简单粗暴 TensorFlow (1.X) | A Concise Handbook of TensorFlow (1.X) | 此版本不再更新,新版见 https://tf.wiki

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stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

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d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

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wtfpython

What the f*ck Python? 😱

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wtfpython-cn

wtfpython的中文翻译/施工结束/ 能力有限,欢迎帮我改进翻译

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Optical-Flow-GPU-Docker

Compute dense optical flow using TV-L1 algorithm with NVIDIA GPU acceleration.

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DeepLearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

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pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)

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nvtop

GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm

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3D-Dense-Residual-Network-for-Action-Recognition

3D Dense Residual Network for Action Recognition

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I3D_TensorFlow

TensorFlow code for finetuning on your own dataset.

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Mini-Kinetics-200

Mini-Kinetics-200 data splits used in paper "Rethinking Spatiotemporal Feature Learning For Video Understanding"

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models

Models and examples built with TensorFlow

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tensorflow

An Open Source Machine Learning Framework for Everyone

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