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ai-papers

AI papers with notes and quotes

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

backend-interview-prep-questions

A few questions & data to help you prepare for the Slack HQ backend interview

centrality

Centrality is a toolkit for managing GPU clusters and training workflows.

chatx

ChatGPT CLI. Chat with ChatGPT (`chat`) or have ChatGPT tell you what bash one-liner to run to solve your problem (`chatx`). Blindly executing the one-liner is optional

conclib

Library for Python concurrency, extending Pykka

deeplearning-cfn

Distributed Deep Learning on AWS Using CloudFormation (CFN), MXNet and TensorFlow

detectron2_fork

determined

Determined: Deep Learning Training Platform

dtrain-lnl

ec2-cluster

Simple CLI and Python library to spin up and run shell commands on clusters of EC2 instances using boto3 and fabric.

ec2-cluster-test

Code for testing PyPi releases of ec2-cluster

environments

Determined AI public environments

goofys

a high-performance, POSIX-ish Amazon S3 file system written in Go

horovod

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

horovod-utils

Tools for doing performance tuning of Horovod training

intro-to-k8s-distributed-training

keras-gcn

Keras implementation of Graph Convolutional Networks

kubeflow

Machine Learning Toolkit for Kubernetes

magnet

mpi-operator

Kubernetes Operator for Allreduce-style Distributed Training

overyaml

Create YAML variants using overlays (diffs). Like a simpler, more powerful Kustomize

radam

On the Variance of the Adaptive Learning Rate and Beyond

results

Public results

sagemaker-containers

This support code is used for making machine learning frameworks (e.g. MXNet, TensorFlow) run on Amazon SageMaker.

sagemaker-ssh

sm-training-jui

Jupyter UI for SageMaker Training focused on watching logs, infrastructure metrics, and science metrics in real-time

tensorflow

Computation using data flow graphs for scalable machine learning

tensorpack

A Neural Net training Interface on TensorFlow, with focus on speed + flexibility