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Anirban Das akaanirban

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@yang-zhang
yang-zhang / pytorch-losses-in-plain-python.ipynb
Last active December 21, 2022 07:14
git/yang-zhang.github.io/ds_code/pytorch-losses-in-plain-python.ipynb
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@mjdietzx
mjdietzx / pytorch-lambda-deploy.sh
Last active April 9, 2020 13:49
AWS Lambda pytorch deep learning deployment package (building pytorch and numpy from source on EC2 Amazon Linux AMI)
#
# written for Amazon Linux AMI
# creates an AWS Lambda deployment package for pytorch deep learning models (Python 3.6.1)
# assumes lambda function defined in ~/main.py
# deployment package created at ~/waya-ai-lambda.zip
#
#
# install python 3.6.1
#
@simoncos
simoncos / golang_on_rpi.md
Last active March 30, 2024 17:56 — forked from konradko/golang_on_rpi.md
Install Golang 1.9 on Raspberry Pi

Install Golang 1.9:

wget https://storage.googleapis.com/golang/go1.9.linux-armv6l.tar.gz
sudo tar -C /usr/local -xzf go1.9.linux-armv6l.tar.gz
export PATH=$PATH:/usr/local/go/bin # put into ~/.profile

If already installed old golang with apt-get:

@bojand
bojand / index.md
Last active July 15, 2024 02:51
gRPC and Load Balancing

Just documenting docs, articles, and discussion related to gRPC and load balancing.

https://github.com/grpc/grpc/blob/master/doc/load-balancing.md

Seems gRPC prefers thin client-side load balancing where a client gets a list of connected clients and a load balancing policy from a "load balancer" and then performs client-side load balancing based on the information. However, this could be useful for traditional load banaling approaches in clound deployments.

https://groups.google.com/forum/#!topic/grpc-io/8s7UHY_Q1po

gRPC "works" in AWS. That is, you can run gRPC services on EC2 nodes and have them connect to other nodes, and everything is fine. If you are using AWS for easy access to hardware then all is fine. What doesn't work is ELB (aka CLB), and ALBs. Neither of these support HTTP/2 (h2c) in a way that gRPC needs.

@alexellis
alexellis / k8s-pi.md
Last active September 24, 2024 14:36
K8s on Raspbian
@kevinzakka
kevinzakka / data_loader.py
Last active April 19, 2024 23:42
Train, Validation and Test Split for torchvision Datasets
"""
Create train, valid, test iterators for CIFAR-10 [1].
Easily extended to MNIST, CIFAR-100 and Imagenet.
[1]: https://discuss.pytorch.org/t/feedback-on-pytorch-for-kaggle-competitions/2252/4
"""
import torch
import numpy as np
@PieterScheffers
PieterScheffers / docker-raspberry-pi.sh
Created May 30, 2017 12:49
Build ARM docker images for Raspberry Pi with QEMU
# https://blog.hypriot.com/post/setup-simple-ci-pipeline-for-arm-images/
### Choose a base image with QEMU binary
# FROM hypriot/rpi-alpine
# FROM resin/rpi-raspbian
# FROM resin/raspberry-pi-alpine-node:slim
### Register QEMU in the build agent
docker run --rm --privileged multiarch/qemu-user-static:register --reset