camlsys / torchquantLinks
A Hackable Quantization Library for PyTorch
☆22Updated 4 years ago
Alternatives and similar repositories for torchquant
Users that are interested in torchquant are comparing it to the libraries listed below
Sorting:
- Reference implementations of popular Binarized Neural Networks☆109Updated 2 weeks ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆75Updated 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
- A collection of metrics to profile a single deep learning model or compare two different deep learning models☆27Updated 2 years ago
- Implementation of "NITI: Training Integer Neural Networks Using Integer-only Arithmetic" on arxiv☆88Updated 3 years ago
- A curated list of binary neural network research papers and software packages.☆28Updated 5 years ago
- Highly optimized inference engine for Binarized Neural Networks☆251Updated this week
- A research library for pytorch-based neural network pruning, compression, and more.☆163Updated 3 years ago
- Low Precision Arithmetic Simulation in PyTorch☆287Updated last year
- Binarize convolutional neural networks using pytorch☆149Updated 3 years ago
- μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.☆82Updated 4 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆50Updated last year
- Programmable Neural Network Compression☆149Updated 3 years ago
- Code for "Fast Sparse ConvNets" CVPR2020 submissions☆12Updated 6 years ago
- QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX☆167Updated last week
- ☆52Updated 6 years ago
- A implement of run-length encoding for Pytorch tensor using CUDA☆14Updated 4 years ago
- Using ideas from product quantization for state-of-the-art neural network compression.☆146Updated 4 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆74Updated 5 years ago
- Train neural networks with joint quantization and pruning on both weights and activations using any pytorch modules☆43Updated 3 years ago
- Repository containing pruned models and related information☆38Updated 4 years ago
- Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)☆27Updated 2 years ago
- Bibtex for Sparsity in Deep Learning paper (https://arxiv.org/abs/2102.00554) - open for pull requests☆46Updated 3 years ago
- ☆43Updated last year
- This is a PyTorch implementation of the Scalpel. Node pruning for five benchmark networks and SIMD-aware weight pruning for LeNet-300-100…☆41Updated 7 years ago
- ☆57Updated 5 years ago
- A Numpy implementation of a Convolutional Neural Network: slow & fast (im2col/col2im).☆58Updated 2 years ago
- NEural Minimizer for pytOrch☆47Updated last year
- Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)☆34Updated 6 years ago
- Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight…☆63Updated last year