Alternatives and similar repositories for tfopgen

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

• MatthieuCourbariaux / deep-learning-multipliers
  Training deep neural networks with low precision multiplications
  ☆64Updated 10 years ago
• ROCm / nnvm-rocm
  NNVM for ROCm Examples
  ☆19Updated 8 years ago
• Alexey-Kamenev / Benchmarks
  Benchmarks for CNTK and other toolkits.
  ☆44Updated 10 years ago
• loudinthecloud / dpwa
  Distributed Learning by Pair-Wise Averaging
  ☆52Updated 8 years ago
• MycChiu / fast-LayerNorm-TF
  Efficient layer normalization GPU kernel for Tensorflow
  ☆110Updated 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
• MethodsOfMachineLearning / cabs
  Tensorflow implementation of SGD with Coupled Adaptive Batch Size (CABS)
  ☆44Updated 8 years ago
• jonsafari / nvidia-ml-py
  Bugfixing fork of Python bindings for the NVIDIA GPU Management Library
  ☆51Updated 8 years ago
• yaroslavvb / memory_util
  TensorFlow util for building memory usage timeline from LOG_MEMORY messages
  ☆65Updated 8 years ago
• ebetica / autogradpp
  Direct C++ Interface to PyTorch
  ☆81Updated 7 years ago
• hannes-brt / cudnn-python-wrappers
  Python wrappers for the NVIDIA cuDNN libraries
  ☆142Updated 8 years ago
• KarenUllrich / Tutorial-SoftWeightSharingForNNCompression
  A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017
  ☆147Updated 8 years ago
• szha / mxnet-jit-batch
  Just-in-time Dynamic Batching with MXNet Gluon.
  ☆52Updated 5 years ago
• lnsmith54 / super-convergence
  Files to create the figures in the paper "Super-Convergence: Very Fast Training of Residual Networks Using Large Learning Rates"
  ☆191Updated 8 years ago
• FlorianMuellerklein / Identity-Mapping-ResNet-Lasagne
  Reproduction of some of the results from 'Identity Mappings in Deep Residual Networks'
  ☆72Updated 9 years ago
• seung-lab / znn-release
  Multi-core CPU implementation of deep learning for 2D and 3D sliding window convolutional networks (ConvNets).
  ☆94Updated 9 years ago
• NervanaSystems / caffe2neon
  Tools to convert Caffe models to neon's serialization format
  ☆39Updated 2 years ago
• ezyang / onnx-pytorch
  PyTorch development for onnx
  ☆21Updated 8 years ago
• zhengwy888 / binary_ops
  ☆22Updated 9 years ago
• hantek / BinaryConnect
  Source code for ``Neural Networks with Few Multiplications'' published at ICLR 2016
  ☆80Updated 9 years ago
• Bihaqo / tf-memonger
  Sublinear memory optimization for deep learning, reduce GPU memory cost to train deeper nets
  ☆28Updated 9 years ago
• codekansas / tinier-nn
  Binarized Neural Network TF training code + C matrix / eval library.
  ☆101Updated 8 years ago
• uoguelph-mlrg / Theano-MPI
  MPI Parallel framework for training deep learning models built in Theano
  ☆54Updated 8 years ago
• yaroslavvb / stuff
  Stuff I uploaded to share online or to access from a different machine
  ☆174Updated 3 years ago
• szagoruyko / nnpack.torch
  Torch FFI-bindings for NNPACK
  ☆31Updated 8 years ago
• diux-dev / ncluster
  ☆37Updated 6 years ago
• NervanaSystems / neon_segnet
  neon implementation of SegNet
  ☆13Updated 2 years ago
• cc-hpc-itwm / TensorQuant
  ☆47Updated 5 years ago
• NVIDIA / pynvrtc
  Python Binding to NVRTC
  ☆79Updated last year
• eladhoffer / bigBatch
  Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…
  ☆149Updated 8 years ago