winowang Goto Github PK

angel

A Flexible and Powerful Parameter Server for large-scale machine learning

arena

Run Deep Learning Jobs on Kubernetes in An Easy Way.

caffe

caffe_standard

chao_work_area

Personal collection

codinginterviewchinese2

《剑指Offer》第二版源代码

community

Kubernetes community content

compound-word-transformer-tensorflow

AI 音乐 - compound-word-transformer，用 Tensorflow 实现

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，近30万字。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[email protected] 版权所有，违权必究 Tan 2018.06

deeplearningexamples

Deep Learning Examples

dir_test

docker-stacks

Ready-to-run Docker images containing Jupyter applications

dockerfile_test

efficient-pytorch

My best practice of training large dataset using PyTorch.

fractional-gpus

Splits single Nvidia GPU into multiple partitions with complete compute and memory isolation (wrt to performace) between the partitions

graph-learn

graph-learn

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

imagenet-process

This is simple scripts which can let you get specific label and specific number of pictures in the ImageNet dataset.

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

inference_results_v0.7

jupyter_gpu

jupyter_images

kubeflow_image

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

mae-pytorch

Masked Autoencoders Are Scalable Vision Learners

mnist-pytorchjob-example

Example codes of DDP training with PytorchJob.

nvidia-smi-opt

paddle-operator

Elastic Deep Learning Training based on Kubernetes by Leveraging EDL and Volcano

pytorch

ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.