Alternatives and similar repositories for Tamp

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

• MatthieuCourbariaux / BinaryConnect
  Training Deep Neural Networks with binary weights during propagations
  ☆381Updated 9 years ago
• itayhubara / BinaryNet
  Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
  ☆302Updated 3 years ago
• cc-hpc-itwm / TensorQuant
  ☆47Updated 5 years ago
• wenwei202 / caffe
  Caffe for Sparse and Low-rank Deep Neural Networks
  ☆380Updated 5 years ago
• czhu95 / ternarynet
  Implementation for Trained Ternary Network.
  ☆108Updated 8 years ago
• wenwei202 / terngrad
  Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)
  ☆182Updated 6 years ago
• KarenUllrich / Tutorial-SoftWeightSharingForNNCompression
  A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017
  ☆145Updated 8 years ago
• hpi-xnor / BMXNet
  (New version is out: https://github.com/hpi-xnor/BMXNet-v2) BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet
  ☆349Updated 5 years ago
• younghwanoh / impl-pruning-TF
  Implementation of "Iterative pruning" on TensorFlow
  ☆160Updated 4 years ago
• cuMF / cumf_sgd
  CUDA Matrix Factorization Library with Stochastic Gradient Descent (SGD)
  ☆71Updated 7 years ago
• timgaripov / TensorNet-TF
  TensorNet (TensorFlow implementation)
  ☆213Updated 7 years ago
• CAS-CLab / quantized-cnn
  An efficient framework for convolutional neural networks
  ☆277Updated last year
• yiwenguo / Dynamic-Network-Surgery
  Caffe implementation for dynamic network surgery.
  ☆187Updated 7 years ago
• fengfu-chris / caffe-twns
  Implementation of Ternary Weight Networks In Caffe
  ☆63Updated 8 years ago
• MatthieuCourbariaux / deep-learning-multipliers
  Training deep neural networks with low precision multiplications
  ☆63Updated 10 years ago
• AngusG / tensorflow-xnor-bnn
  BinaryNets in TensorFlow with XNOR GEMM op
  ☆156Updated 7 years ago
• wenwei202 / iss-rnns
  Sparse Recurrent Neural Networks -- Pruning Connections and Hidden Sizes (TensorFlow)
  ☆74Updated 4 years ago
• qinyao-he / bit-rnn
  Quantize weights and activations in Recurrent Neural Networks.
  ☆94Updated 6 years ago
• dongyp13 / Stochastic-Quantization
  Training Low-bits DNNs with Stochastic Quantization
  ☆74Updated 7 years ago
• IntelLabs / SkimCaffe
  Caffe for Sparse Convolutional Neural Network
  ☆238Updated 2 years ago
• zhengwy888 / binary_ops
  ☆23Updated 9 years ago
• jaehong31 / CGES
  Combined Group and Exclusive Sparsity for Deep Neural Networks, ICML 2017
  ☆31Updated 7 years ago
• KarenUllrich / Tutorial_BayesianCompressionForDL
  A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).
  ☆206Updated 6 years ago
• hessamb / lcnn
  LCNN: Lookup-based Convolutional Neural Network
  ☆52Updated 7 years ago
• hantek / BinaryConnect
  Source code for ``Neural Networks with Few Multiplications'' published at ICLR 2016
  ☆81Updated 9 years ago
• zhaoweicai / hwgq
  Caffe implementation of accurate low-precision neural networks
  ☆117Updated 6 years ago
• itayhubara / BinaryNet.tf
  BNN implementation in tensorflow
  ☆167Updated 7 years ago
• MethodsOfMachineLearning / cabs
  Tensorflow implementation of SGD with Coupled Adaptive Batch Size (CABS)
  ☆44Updated 8 years ago
• songhan / DSD
  DSD model zoo. Better accuracy models from DSD training on Imagenet with same model architecture
  ☆113Updated 6 years ago
• songhan / SqueezeNet-Deep-Compression
  ☆402Updated 6 years ago