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asxaqz's repos on GitHub
Jupyter Notebook 578 人关注
WGAN-tensorflow
a tensorflow implementation of WGAN
Python 169 人关注
TF_Deformable_Net
Deformable convolution net on Tensorflow
C++ 111 人关注
TF-deformable-conv
Implementation of deformable convolution as an operation in tensorflow
Python 6 人关注
unrolled-GAN
A simple unrolled GAN implementation using tensorflow
2 人关注
dgl
Pyton package built to ease deep learning on graph, on top of existing DL frameworks.
Python 0 人关注
BEGAN
Boundary Equibilibrium Generative Adversarial Networks Implementation in Tensorflow
Jupyter Notebook 0 人关注
cs231n_project
GDB 0 人关注
dotfiles
my dotfiles
Java 0 人关注
EC_VU_2014
Group 19, project of Evolutionary Compution, VU 2014
0 人关注
fishrc
Fish shell customizations
Python 0 人关注
GTM_Cover_Crawler
The name tells it.
Jupyter Notebook 0 人关注
InfoVis-Framework-2021
This repo contains the first assignment for the UvA master course Information Visualization
C++ 0 人关注
mFAST
A FAST (FIX Adapted for STreaming) encoder/decoder
0 人关注
microtalks
Python 0 人关注
models
Models built with TensorFlow
Python 0 人关注
mx-rfcn
MXNet port of R-FCN
C++ 0 人关注
mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
CSS 0 人关注
online-cv
A minimal Jekyll Theme to host your resume (CV)
Python 0 人关注
poisson-matting
Python implementation of Poisson matting method
Python 0 人关注
pytorch-flows
PyTorch implementations of algorithms for density estimation
Java 0 人关注
SeamCarver
C++ 0 人关注
tensorflow
Computation using data flow graphs for scalable machine learning
HTML 0 人关注
zardinality.github.io
asxaqz

asxaqz

V2EX 第 111610 号会员,加入于 2015-04-18 17:14:50 +08:00
今日活跃度排名 2025
asxaqz 最近回复了
roll!
@defunct9 #12 请问最后是什么办法呢?也是两个地域的实例做代理的思路吗?
@TonyHoAspire #11 你这个使用场景我觉得就是全球加速的目标场景,https://help.aliyun.com/zh/ga/?spm=a2c4g.11186623.0.0.72391c6a9qWlNx
@DT27 #8 感谢,感觉 gh proxy 和 docker 镜像都自建,应该可以保证达到一个比较高可用的状态。公开的 docker 镜像去年出来一大堆,但最后好像死了一大批,所以我有点不太敢用。我还发现了一个 https://github.com/tech-shrimp/docker_image_pusher ,提供了结合 github cicd 和 acr 的示范的工作流。
@suhu 这也是一个问题,流量费有点肉疼,不过比 ga 还是好一点
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