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 last week
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆76Updated 6 years ago
- A research library for pytorch-based neural network pruning, compression, and more.☆162Updated 3 years ago
- A implement of run-length encoding for Pytorch tensor using CUDA☆14Updated 4 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
- Repository containing pruned models and related information☆38Updated 4 years ago
- 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
- ☆10Updated 4 years ago
- ☆52Updated 6 years ago
- Low Precision Arithmetic Simulation in PyTorch☆291Updated last year
- Implementation of "NITI: Training Integer Neural Networks Using Integer-only Arithmetic" on arxiv☆90Updated 3 years ago
- A collection of metrics to profile a single deep learning model or compare two different deep learning models☆27Updated 2 years ago
- Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)☆27Updated 2 years ago
- Programmable Neural Network Compression☆149Updated 3 years ago
- TQT's pytorch implementation.☆21Updated 4 years ago
- Train neural networks with joint quantization and pruning on both weights and activations using any pytorch modules☆43Updated 3 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆50Updated last year
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆16Updated 6 years ago
- Implementation of the Winograd algorithm.☆24Updated 7 years ago
- Using ideas from product quantization for state-of-the-art neural network compression.☆145Updated 4 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆74Updated 5 years ago
- Highly optimized inference engine for Binarized Neural Networks☆252Updated 2 weeks ago
- ☆43Updated 2 years ago
- Bibtex for Sparsity in Deep Learning paper (https://arxiv.org/abs/2102.00554) - open for pull requests☆46Updated 3 years ago
- Code to implement the experiments in "Post-training Quantization for Neural Networks with Provable Guarantees" by Jinjie Zhang, Yixuan Zh…☆11Updated 2 years ago
- [NeurIPS 2024] BLAST: Block Level Adaptive Structured Matrix for Efficient Deep Neural Network Inference☆17Updated last year
- μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.☆82Updated 5 years ago
- Code for "Fast Sparse ConvNets" CVPR2020 submissions☆12Updated 6 years ago
- QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX☆175Updated last week
- Algorithm-hardware Co-design for Deformable Convolution☆24Updated 5 years ago