Alternatives and similar repositories for ngc-examples

Users that are interested in ngc-examples are comparing it to the libraries listed below

• awslabs / dynamic-training-with-apache-mxnet-on-aws
  Dynamic training with Apache MXNet reduces cost and time for training deep neural networks by leveraging AWS cloud elasticity and scale. …
  ☆56Updated 3 years ago
• HewlettPackard / dlcookbook-dlbs
  Deep Learning Benchmarking Suite
  ☆130Updated 3 years ago
• jnbntz / gpu-edu-workshops
  Code examples for CUDA and OpenACC
  ☆34Updated last year
• szilard / benchm-dl
  Playing with various deep learning tools and network architectures
  ☆70Updated 8 years ago
• opveclib / opveclib
  The Operator Vectorization Library, or OVL, is a python productivity library for defining high performance custom operators for the Tenso…
  ☆68Updated 9 years ago
• gpuopenanalytics / demo-docker
  Demo notebooks inside a docker for end-to-end examples
  ☆112Updated 7 years ago
• awslabs / deeplearning-benchmark
  ☆118Updated 2 years ago
• DeepLearningDTU / nvidia_deep_learning_summercamp_2016
  Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016
  ☆26Updated 9 years ago
• deepsense-ai / tensorflow_on_slurm
  ☆39Updated 7 years ago
• equialgo / ec2-gpu-instance
  Ansible provision scripts for configuration of an Amazon EC2 GPU instance
  ☆22Updated 8 years ago
• zhangzhang10 / pydaal-tutorials
  Tutorials for uisng PyDAAL, i.e. the Python API of Intel Data Analytics Acceleration Library
  ☆11Updated 7 years ago
• ARCambridge / MXNet_linalg_examples
  Examples of building probabilistic models with MXNet linear algebra operators
  ☆23Updated 8 years ago
• michaelulin / pytorch-caffe2-aws-lambda
  Serving PyTorch Models on AWS Lambda with Caffe2 & ONNX
  ☆48Updated 8 years ago
• dholt / slurm-gpu
  Scheduling GPU cluster workloads with Slurm
  ☆78Updated 7 years ago
• minimaxir / deep-learning-cpu-gpu-benchmark
  Repository to benchmark the performance of Cloud CPUs vs. Cloud GPUs on TensorFlow and Google Compute Engine.
  ☆66Updated 8 years ago
• matex-org / matex
  Machine Learning Toolkit for Extreme Scale (MaTEx)
  ☆111Updated 7 years ago
• kubeflow / example-seldon
  Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core
  ☆172Updated 4 years ago
• NervanaSystems / neon_course
  neon tutorials
  ☆93Updated 3 years ago
• tensorflow / tensorboard-plugin-example
  ☆135Updated 6 years ago
• davidmeyer / ml-code
  ☆14Updated 3 years ago
• GoogleCloudPlatform / cloudml-edge-automation
  Automated building and packaging of Tensorflow models in the cloud, and running them on devices
  ☆15Updated 7 years ago
• fabianp / overview_optalgs
  ☆30Updated 5 years ago
• horovod / tutorials
  Tutorials for Horovod
  ☆85Updated 4 years ago
• hannes-brt / cudnn-python-wrappers
  Python wrappers for the NVIDIA cuDNN libraries
  ☆142Updated 8 years ago
• daaltces / pydaal-getting-started
  Introduction and tutorials for using PyDAAL, i.e. the Python API of Intel Data Analytics Acceleration Library
  ☆37Updated 7 years ago
• msalvaris / gpu_monitor
  Monitor your GPUs whether they are on a single computer or in a cluster
  ☆162Updated 6 years ago
• adithya-subramanian / Keras-Deep-Learning-Zoo
  ☆18Updated 5 years ago
• PacktPublishing / Mastering-PyTorch-for-Deep-Learning
  Mastering PyTorch for Deep Learning, Published by Packt
  ☆15Updated 5 years ago
• intel / experiments
  Experiments API for Experiment Tracking on Kubernetes
  ☆27Updated 3 years ago
• NVIDIA-developer-blog / kubernetes-hyperparam-exp
  This repository contains code and config files that accompany the blog post:
  ☆16Updated 6 years ago