KarenUllrich / pytorch-binary-converterLinks
Turning float tensors to binary tensors according to IEEE-754 standard.
☆37Updated 6 years ago
Alternatives and similar repositories for pytorch-binary-converter
Users that are interested in pytorch-binary-converter are comparing it to the libraries listed below
Sorting:
- Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing …☆52Updated 3 years ago
- Binarize convolutional neural networks using pytorch☆147Updated 3 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆91Updated 2 years ago
- DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures☆33Updated 5 years ago
- Proximal Mean-field for Neural Network Quantization☆22Updated 5 years ago
- TBNv2: Convolutional Neural Network With Ternary Inputs and Binary Weights☆17Updated 5 years ago
- Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer☆111Updated 2 years ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆98Updated 5 years ago
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆39Updated 3 years ago
- Code for High-Capacity Expert Binary Networks (ICLR 2021).☆27Updated 3 years ago
- This repository implements the paper "Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations"☆20Updated 4 years ago
- Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".☆118Updated 3 years ago
- [IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.☆59Updated last year
- Implementation of BinaryConnect on Pytorch☆39Updated 4 years ago
- Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).☆110Updated 6 years ago
- [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…☆31Updated last year
- Pytorch implementation of COIN, a framework for compression with implicit neural representations 🌸☆150Updated 4 years ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆74Updated 5 years ago
- Kervolution Library in PyTorch (CVPR 2019 Oral)☆39Updated 5 years ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- Compression with Flows via Local Bits-Back Coding☆39Updated 5 years ago
- Piecewise Linear Functions (PWL) implementation in PyTorch☆54Updated 3 years ago
- This repository contains the code for our recent paper `Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters'☆23Updated 6 years ago
- The code for Channel-Level Variable Quantization Network for Deep Image Compression (IJCAI 2020)☆31Updated 4 years ago
- PyTorch implementation of HashedNets☆36Updated 2 years ago
- Code for paper "Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-based Approach"☆19Updated 5 years ago
- Official implementation of Neurips 2020 "Sparse Weight Activation Training" paper.☆28Updated 4 years ago
- A research library for pytorch-based neural network pruning, compression, and more.☆162Updated 2 years ago
- Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)☆53Updated 4 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆74Updated 4 years ago