Alternatives and similar repositories for deep-learning-cpu-gpu-benchmark

Users that are interested in deep-learning-cpu-gpu-benchmark are comparing it to the libraries listed below

• minimaxir / keras-cntk-docker
  Docker container for keras + cntk intended for nvidia-docker
  ☆42Updated 6 years ago
• alexandraj777 / machine-learning-samples
  Sample applications built using AWS' Amazon Machine Learning.
  ☆51Updated 8 years ago
• nlml / np-to-tf-embeddings-visualiser
  Quick function to go from a dictionary of sets of (images, labels, feature vectors) to checkpoints that can be opened in Tensorboard
  ☆33Updated 7 years ago
• tesserai / tfi
  Use any TensorFlow model in a single line of code
  ☆152Updated 6 years ago
• fomorians / tfstage
  TFStage: TensorFlow Project Scaffolding
  ☆62Updated 5 years ago
• Zahlii / colab-tf-utils
  Automatically backup keras/tensorflow models from Google's Colab service to your GoogleDrive based on a keras callback!
  ☆82Updated 7 years ago
• NervanaSystems / neon_course
  neon tutorials
  ☆93Updated 2 years ago
• amauboussin / arxiv-twitterbot
  Twitterbot that uses machine learning to curate interesting arXiv papers
  ☆43Updated 6 years ago
• minimaxir / keras-cntk-benchmark
  Code for Benchmarking CNTK performance on Keras vs. TensorFlow
  ☆26Updated 7 years ago
• ezhulenev / distributo
  ECS Scheduler for Running Massive Parallel Computations
  ☆70Updated 9 years ago
• jwittenbach / aws-tensorflow-setup
  Install TensorFlow on AWS GPU-instance
  ☆28Updated 8 years ago
• szilard / benchm-dl
  Playing with various deep learning tools and network architectures
  ☆70Updated 7 years ago
• radekosmulski / cifar10_docker
  ☆52Updated 6 years ago
• thomsn / easy_gene
  Easy genetic algorithm
  ☆14Updated 7 years ago
• erlendd / optomatic
  Efficient distributed hyperparameter search library written in Python.
  ☆75Updated 6 years ago
• gngdb / nvidia-docker-ec2
  Scripts for running nvidia-docker on Amazon EC2.
  ☆12Updated 4 years ago
• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 7 years ago
• michaelulin / pytorch-caffe2-aws-lambda
  Serving PyTorch Models on AWS Lambda with Caffe2 & ONNX
  ☆47Updated 7 years ago
• drivendataorg / metrics
  Useful implementations of metrics for competitions on www.drivendata.org
  ☆8Updated 7 years ago
• Paperspace / fastai-docker-deprecated
  Fast.AI course complete docker container for Paperspace and Gradient
  ☆47Updated 6 years ago
• fastforwardlabs / hello_deep_learning
  Example scripts for various deep learning APIs.
  ☆28Updated 9 years ago
• raviqqe / tensorflow-qnd
  Quick and Dirty TensorFlow command framework to train and evaluate models and make inference
  ☆56Updated 6 years ago
• ADGEfficiency / dsr-rl
  Reinforcement learning course at Data Science Retreat
  ☆42Updated 5 years ago
• xiaoganghan / awesome-feature-engineering
  A curated list of feature engineering techniques for image and text machine learning
  ☆50Updated 8 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 6 years ago
• keplr-io / picard
  Easily declare large spaces of (keras) neural networks and run (hyperopt) optimization experiments on them.
  ☆52Updated 8 years ago
• hycis / TensorGraph
  A tensorflow library for building all kinds of models
  ☆70Updated 3 years ago
• Kaixhin / FGMachine
  Future Gadget Machine
  ☆68Updated 7 years ago
• RealScout / deep-learning-images
  Automating image builds for deep learning based applications since 2016
  ☆51Updated 8 years ago
• dennybritz / nn-theano
  Speed up your Neural Network with Theano and the GPU
  ☆62Updated 9 years ago