XuKong (JiXuKong)

JiXuKong

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Location:China

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XuKong's starred repositories

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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drawio

draw.io is a JavaScript, client-side editor for general diagramming.

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vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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automl

Google Brain AutoML

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tpu

Reference models and tools for Cloud TPUs.

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SimSwap

An arbitrary face-swapping framework on images and videos with one single trained model!

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TensorRT

PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT

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efficientnet

Implementation of EfficientNet model. Keras and TensorFlow Keras.

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PyTorch-Networks

Pytorch implementation of cnn network

This-repo-has-1426-stars

这个仓库有1426个star,不信你试试

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EfficientDet

EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow

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machine-learning-toy-code

《机器学习》(西瓜书)代码实战

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Keras-YOLOv4

yolov4 42.0% mAP.ppyolo 45.1% mAP.

ShuffleNet

ShuffleNet Implementation in TensorFlow

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YOLOF

You Only Look One-level Feature (YOLOF), CVPR2021, Detectron2

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nb

Neural Network Blocks - Collect all kinds of fancy model blocks for you to build more powerful neural network model.

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Keras-DDPM

生成扩散模型的Keras实现

Factorized-TDNN

PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi

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tf-dropblock

TensorFlow implementation of DropBlock

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fcosv1

FCOS ,640px(max side),mAP 38.2,fps45.45(RTX 2080TI).faster! better! <<Fully Convolutional One-Stage Object Detection>>

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pwlu-pytorch

Unofficial pytorch implementation of Piecewise Linear Unit dynamic activation function

FCOS

Tensorflow1.14 object detection anchor free

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pytorch-miscs

Miscellaneous utils for network training in pytorch.

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YOLOF

Tensorflow implement YOLOF(You Only Look One Level Feaature)

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wer_are_we

Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.