Alternatives and similar repositories for fastec2

Users that are interested in fastec2 are comparing it to the libraries listed below

• Paperspace / fastai-docker-deprecated
  Fast.AI course complete docker container for Paperspace and Gradient
  ☆47Updated 6 years ago
• fastai / fastsql1
  A bit of extra usability for sqlalchemy v2.
  ☆77Updated last year
• radekosmulski / aws-setup
  ☆28Updated 7 years ago
• narenst / infinity
  AWS Spot instances for ML
  ☆39Updated 2 years ago
• alecrubin / pytorch-serverless
  FastAI PyTorch Serverless API (w/ AWS Lambda)
  ☆153Updated 6 years ago
• gurvindersingh / mlapp
  ML model serving app based on APIs
  ☆72Updated 3 years ago
• nimbo-sh / nimbo
  Run compute jobs on AWS as if you were running them locally.
  ☆125Updated 3 years ago
• harvardnlp / namedtensor
  Named Tensor implementation for Torch
  ☆445Updated 2 years ago
• fastai / fastscript
  A fast way to turn your python function into a script
  ☆164Updated 3 years ago
• jph00 / notes
  Stuff I find (see issues)
  ☆39Updated 4 years ago
• activeloopai / snark-doc
  Serverless Deep Learning and Hyperparameter Search
  ☆50Updated 6 years ago
• amauboussin / arxiv-twitterbot
  Twitterbot that uses machine learning to curate interesting arXiv papers
  ☆43Updated 7 years ago
• yu-iskw / google-cloud-deep-learning-kit
  Create a GPU instance on GCP with Jupyter + Keras(Tensorflow) + Nvidia Docker
  ☆39Updated 7 years ago
• quiltdata / t4
  T4 is now in production as Quilt 3
  ☆64Updated 6 years ago
• antimatter15 / eigensheep
  massively parallel experimentation with Jupyter and AWS Lambda 🐑🌩📒
  ☆162Updated 5 years ago
• eshvk / gcp-dl
  Deep Learning on GCP
  ☆26Updated 7 years ago
• mitdbg / fastdeepnets
  ☆113Updated 2 years ago
• facebookresearch / dagger
  Experiment orchestration
  ☆103Updated 5 years ago
• cybertronai / ncluster
  Lightweight interface to AWS
  ☆47Updated 5 years ago
• fastai / randomized-SVD
  demos for PyBay talk: Using Randomness to make code faster
  ☆51Updated 7 years ago
• nlathia / kettle-cli
  🎯 kettle is a CLI tool for creating and deploying cloud functions & docker containers for machine learning
  ☆32Updated 2 years ago
• stas00 / ipyexperiments
  Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers
  ☆216Updated last year
• Coderik / portal-gun
  Deep Learning on Amazon EC2 Spot Instances without the agonizing pain.
  ☆66Updated 3 years ago
• fastai / dotfiles
  ☆42Updated 7 months ago
• fastai / fastgpu
  A queue service for quickly developing scripts that use all your GPUs efficiently
  ☆85Updated 2 years ago
• radekosmulski / cifar10_docker
  ☆52Updated 6 years ago
• svenski / duckgoose
  Utils for fast.ai course
  ☆38Updated 6 years ago
• pierreablin / autoptim
  Automatic differentiation + optimization
  ☆103Updated 6 years ago
• slavivanov / ec2-spotter
  Utility for making Spot Instance root disk persistence behave like On Demand instances.
  ☆77Updated 6 years ago
• developmentseed / fastai-serving
  A Docker image for serving fast.ai models, mimicking the API of Tensorflow Serving
  ☆122Updated 5 years ago