Alternatives and similar repositories for lloyd-max-quantizer

Users that are interested in lloyd-max-quantizer are comparing it to the libraries listed below

• KarenUllrich / pytorch-binary-converter
  Turning float tensors to binary tensors according to IEEE-754 standard.
  ☆37Updated 6 years ago
• spencerkent / generalized-lloyd-quantization
  An implementation of the Generalized Lloyd method for vector quantization
  ☆31Updated 5 years ago
• ahmedfgad / ArithmeticEncodingPython
  Data Compression using Arithmetic Encoding in Python
  ☆80Updated last year
• kirlf / CSP
  Some teaching materials about MIMO in Communications.
  ☆18Updated 4 years ago
• keivanalizadeh / ButterflyTransform
  ☆41Updated 4 years ago
• ristea / arim-v2
  ☆12Updated 4 years ago
• siddharth-maddali / frft
  Fast implementation of the multi-dimensional fractional Fourier transform in Python
  ☆50Updated 3 years ago
• 1adrianb / expert-binary-networks
  Code for High-Capacity Expert Binary Networks (ICLR 2021).
  ☆27Updated 3 years ago
• BGUCompSci / WaveletCompressedConvolution
  Official implementation for Wavelet Feature Maps Compression for Image-to-Image CNNs, NeurIPS 2022.
  ☆34Updated 2 years ago
• ysbsb / awesome-quantization
  Awesome Quantization Paper lists with Codes
  ☆11Updated 4 years ago
• jflamant / bispy
  BiSPy : a python framework for signal processing of bivariate signals
  ☆23Updated 8 months ago
• fraunhoferhhi / DeepCABAC
  ☆66Updated 3 years ago
• PSCLab-ASU / OpenICS
  ☆28Updated 4 years ago
• Jangho-Kim / PSG-pytorch
  Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)
  ☆26Updated 4 years ago
• sreyas-mohan / DeepFreq
  Code, Pre-trained Models and some materials accompanying "Data-driven Estimation of Sinusoid Frequencies"
  ☆46Updated 2 years ago
• haimengzhao / CAE-ADMM
  CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders
  ☆47Updated 5 years ago
• mandt-lab / vbq
  Official code for ICML 2020 paper "Variational Bayesian Quantization"
  ☆23Updated 2 years ago
• 3outeille / CNNumpy
  A Numpy implementation of a Convolutional Neural Network: slow & fast (im2col/col2im).
  ☆58Updated 2 years ago
• jqi41 / Pytorch-Tensor-Train-Network
  Jun and Huck's PyTorch-Tensor-Train Network Toolbox
  ☆45Updated 2 years ago
• GarethCa / Py-tANS
  A Python Implementation of the tabled Asymmetric Numeral Systems compression method.
  ☆25Updated 5 years ago
• balbekov / PyH264
  Python implementation of H264
  ☆56Updated 6 years ago
• sair-lab / kervolution
  Kervolution Library in PyTorch (CVPR 2019 Oral)
  ☆39Updated 5 years ago
• DavideNardone / Greedy-Adaptive-Dictionary
  Greedy Adaptive Dictionary (GAD) is a learning algorithm that sets out to find sparse atoms for speech signals.
  ☆11Updated 6 years ago
• hojonathanho / localbitsback
  Compression with Flows via Local Bits-Back Coding
  ☆39Updated 5 years ago
• hsndbk4 / GDWS
  Code for the paper titled "Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks" (NeurIPS…
  ☆11Updated 3 years ago
• tokusumi / keras-flops
  FLOPs calculator with tf.profiler for neural network architecture written in tensorflow 2.2+ (tf.keras)
  ☆55Updated last year
• cogsys-tuebingen / uninas
  A highly modular PyTorch framework with a focus on Neural Architecture Search (NAS).
  ☆23Updated 3 years ago
• BerenMillidge / NeuralKalmanFiltering
  Code for the simulations in the neural Kalman filtering paper
  ☆19Updated 4 years ago
• 1adrianb / binary-networks-pytorch
  Binarize convolutional neural networks using pytorch
  ☆146Updated 3 years ago
• abr / power_benchmarks
  Profiling power consumption of a neuromorphic keyword spotter.
  ☆22Updated 5 years ago