Alternatives and similar repositories for distbelief

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

• ljk628 / ML-Systems
  papers on scalable and efficient machine learning systems
  ☆192Updated 7 years ago
• upul / Aurora
  Minimal Deep Learning library is written in Python/Cython/C++ and Numpy/CUDA/cuDNN.
  ☆102Updated 7 years ago
• stanford-futuredata / dawn-bench-entries
  DAWNBench: An End-to-End Deep Learning Benchmark and Competition
  ☆263Updated 5 years ago
• hwang595 / ps_pytorch
  implement distributed machine learning with Pytorch + OpenMPI
  ☆53Updated 6 years ago
• NVIDIA / Milano
  Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.
  ☆155Updated 7 years ago
• dlsys-course / dlsys-course.github.io
  Deep learning system course
  ☆215Updated 7 years ago
• snuspl / parallax
  A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments.
  ☆132Updated 3 years ago
• TalwalkarLab / paleo
  An analytical performance modeling tool for deep neural networks.
  ☆92Updated 5 years ago
• cuihenggang / geeps
  GPU-specialized parameter server for GPU machine learning.
  ☆102Updated 7 years ago
• callowbird / Harmonica
  Code repository for the paper "Hyperparameter Optimization: A Spectral Approach" by Elad Hazan, Adam Klivans, Yang Yuan.
  ☆175Updated 7 years ago
• masahi / tvm-winograd
  Test winograd convolution written in TVM for CUDA and AMDGPU
  ☆41Updated 7 years ago
• tmulc18 / DistributedDeepLearningReads
  Papers and blogs related to distributed deep learning
  ☆96Updated 8 years ago
• szha / mxnet-jit-batch
  Just-in-time Dynamic Batching with MXNet Gluon.
  ☆52Updated 5 years ago
• merrymercy / NALU
  Implementation of Neural Arithmetic Logic Units (https://arxiv.org/pdf/1808.00508.pdf)
  ☆31Updated 7 years ago
• zhuwenxi / pytorch-profiling-tool
  ☆54Updated 7 years ago
• microsoft / petridishnn
  Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
  ☆112Updated 2 years ago
• bwasti / pytorch_compiler_tutorial
  Codebase associated with the PyTorch compiler tutorial
  ☆47Updated 6 years ago
• countif / enas_nni
  This code is for running enas on nni.
  ☆25Updated 6 years ago
• jwfromm / Riptide
  Simple Training and Deployment of Fast End-to-End Binary Networks
  ☆159Updated 3 years ago
• loudinthecloud / dpwa
  Distributed Learning by Pair-Wise Averaging
  ☆52Updated 8 years ago
• dlsys-course / examples
  Example codes appears in lectures
  ☆23Updated 3 years ago
• tensorpack / benchmarks
  Use TensorFlow efficiently
  ☆96Updated 4 years ago
• MethodsOfMachineLearning / cabs
  Tensorflow implementation of SGD with Coupled Adaptive Batch Size (CABS)
  ☆44Updated 8 years ago
• google / gpu-mux
  ☆42Updated 6 years ago
• jonsafari / nvidia-ml-py
  Bugfixing fork of Python bindings for the NVIDIA GPU Management Library
  ☆51Updated 8 years ago
• huanzhang12 / hogwildpp
  HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent
  ☆33Updated 9 years ago
• dlsys-course / assignment2-2018
  (Spring 2018) Assignment 2: Graph Executor with TVM
  ☆124Updated 7 years ago
• intel / ideep
  Intel® Optimization for Chainer*, a Chainer module providing numpy like API and DNN acceleration using MKL-DNN.
  ☆174Updated 2 weeks ago
• negrinho / deep_architect
  A general, modular, and programmable architecture search framework
  ☆123Updated 2 years ago
• Yunlong-He / TensorFlowInternals
  Analyze TensorFlow source code
  ☆19Updated 8 years ago