ARM-software / scalpel

Related projects ⓘ

Alternatives and complementary repositories for scalpel

• stevenygd / SWALP
  Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".
  ☆62Updated 5 years ago
• MatthieuCourbariaux / 8-bit-deep-learning
  Training neural networks with 8-bit computations
  ☆29Updated 8 years ago
• julianfaraone / SYQ
  This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…
  ☆32Updated 5 years ago
• fpeder / espresso
  Efficient forward propagation for BCNNs
  ☆50Updated 7 years ago
• mil-ad / studying-binary-neural-networks
  ☆53Updated 5 years ago
• szagoruyko / binary-wide-resnet
  PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)
  ☆124Updated 6 years ago
• hyang1990 / model_based_energy_constrained_compression
  Code for paper "Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking"
  ☆17Updated 5 years ago
• McDonnell-Lab / 1-bit-per-weight
  Training wide residual networks for deployment using a single bit for each weight
  ☆36Updated 4 years ago
• hpnair / 18663_Project_FBNet
  Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)
  ☆33Updated 5 years ago
• yashbhalgat / QualcommAI-MicroNet-submission-MixNet
  3rd place solution for NeurIPS 2019 MicroNet challenge
  ☆35Updated 5 years ago
• statsml / compress-net-notes
  ☆20Updated 6 years ago
• layog / Accurate-Binary-Convolution-Network
  Binary Convolution Network for faster real-time processing in ASICs
  ☆54Updated 6 years ago
• team-approx-bayes / BayesBiNN
  Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule
  ☆37Updated 2 years ago
• 1adrianb / binary-nas
  ☆35Updated 4 years ago
• houlu369 / Loss-aware-weight-quantization
  Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"
  ☆26Updated 5 years ago
• DeGirum / pruned-models
  Repository containing pruned models and related information
  ☆36Updated 3 years ago
• plumerai / rethinking-bnn-optimization
  Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"
  ☆73Updated 4 years ago
• adityaiitb / pyprof2
  PyProf2: PyTorch Profiling tool
  ☆83Updated 4 years ago
• eghouti / BinaryConnect
  Implementation of BinaryConnect on Pytorch
  ☆36Updated 3 years ago
• eladhoffer / norm_matters
  ☆23Updated 5 years ago
• kaiqzhan / ADAM-ADMM
  A Unified, Systematic Framework of Structured Weight Pruning for DNNs
  ☆22Updated 6 years ago
• Enderdead / Pytorch_Quantize_impls
  Some recent Quantizing techniques on PyTorch
  ☆71Updated 5 years ago
• ChanganVR / ConstraintAwareCompression
  [ECCV18] Constraint-Aware Deep Neural Network Compression
  ☆12Updated 6 years ago
• mlzxy / qsparse
  Train neural networks with joint quantization and pruning on both weights and activations using any pytorch modules
  ☆40Updated 2 years ago
• cc-hpc-itwm / TensorQuant
  ☆47Updated 4 years ago
• stevenygd / WAGE.pytorch
  Reproduction of WAGE in PyTorch.
  ☆41Updated 5 years ago
• CAS-CLab / Training-Tricks-for-Binarized-Neural-Networks
  The collection of training tricks of binarized neural networks.
  ☆72Updated 3 years ago
• tajanthan / pmf
  Proximal Mean-field for Neural Network Quantization
  ☆22Updated 4 years ago
• TropComplique / trained-ternary-quantization
  Reducing the size of convolutional neural networks
  ☆112Updated 6 years ago