Alternatives and similar repositories for distbelief

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

• hwang595 / ps_pytorch
  implement distributed machine learning with Pytorch + OpenMPI
  ☆51Updated 6 years ago
• TalwalkarLab / paleo
  An analytical performance modeling tool for deep neural networks.
  ☆89Updated 4 years ago
• cuihenggang / geeps
  GPU-specialized parameter server for GPU machine learning.
  ☆101Updated 7 years ago
• stanford-futuredata / dawn-bench-entries
  DAWNBench: An End-to-End Deep Learning Benchmark and Competition
  ☆262Updated 4 years ago
• petuum / autodist
  Simple Distributed Deep Learning on TensorFlow
  ☆133Updated last month
• callowbird / Harmonica
  Code repository for the paper "Hyperparameter Optimization: A Spectral Approach" by Elad Hazan, Adam Klivans, Yang Yuan.
  ☆173Updated 6 years ago
• upul / Aurora
  Minimal Deep Learning library is written in Python/Cython/C++ and Numpy/CUDA/cuDNN.
  ☆102Updated 7 years ago
• dlsys-course / examples
  Example codes appears in lectures
  ☆23Updated 3 years ago
• snuspl / parallax
  A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments.
  ☆132Updated 3 years ago
• loudinthecloud / dpwa
  Distributed Learning by Pair-Wise Averaging
  ☆52Updated 7 years ago
• dlsys-course / dlsys-course.github.io
  Deep learning system course
  ☆214Updated 6 years ago
• MethodsOfMachineLearning / cabs
  Tensorflow implementation of SGD with Coupled Adaptive Batch Size (CABS)
  ☆44Updated 8 years ago
• masahi / tvm-winograd
  Test winograd convolution written in TVM for CUDA and AMDGPU
  ☆41Updated 6 years ago
• szha / mxnet-jit-batch
  Just-in-time Dynamic Batching with MXNet Gluon.
  ☆52Updated 5 years ago
• tmulc18 / DistributedDeepLearningReads
  Papers and blogs related to distributed deep learning
  ☆96Updated 7 years ago
• merrymercy / NALU
  Implementation of Neural Arithmetic Logic Units (https://arxiv.org/pdf/1808.00508.pdf)
  ☆31Updated 6 years ago
• bwasti / pytorch_compiler_tutorial
  Codebase associated with the PyTorch compiler tutorial
  ☆46Updated 5 years ago
• huanzhang12 / hogwildpp
  HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent
  ☆33Updated 8 years ago
• han-cai / EAS
  Efficient Architecture Search by Network Transformation, in AAAI 2018
  ☆169Updated 6 years ago
• jonsafari / nvidia-ml-py
  Bugfixing fork of Python bindings for the NVIDIA GPU Management Library
  ☆51Updated 8 years ago
• dhruvramani / Neural-Architecture-Search-with-RL
  Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017
  ☆41Updated 7 years ago
• dlsys-course / assignment2-2017
  (Spring 2017) Assignment 2: GPU Executor
  ☆62Updated 8 years ago
• microsoft / petridishnn
  Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
  ☆110Updated 2 years ago
• automl / pylearningcurvepredictor
  predicting learning curves in python
  ☆43Updated 8 years ago
• ljk628 / ML-Systems
  papers on scalable and efficient machine learning systems
  ☆192Updated 6 years ago
• DoctorTeeth / fred
  FRED simulator and associated paper
  ☆26Updated 9 years ago
• OpenHero / im2col
  image to column
  ☆30Updated 11 years ago
• jiaweizzhao / signSGD-with-Majority-Vote
  ☆75Updated 6 years ago
• dglai / minigun
  Light-weight GPU kernel interface for graph operations
  ☆15Updated 5 years ago
• keskarnitish / large-batch-training
  Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"
  ☆144Updated 8 years ago