BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.
☆58Feb 7, 2023Updated 3 years ago
Alternatives and similar repositories for BitPack
Users that are interested in BitPack are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [FPGA'21] CoDeNet is an efficient object detection model on PyTorch, with SOTA performance on VOC and COCO based on CenterNet and Co-Desi…☆28Feb 7, 2023Updated 3 years ago
- Algorithm-hardware Co-design for Deformable Convolution☆24Jan 14, 2021Updated 5 years ago
- Open Source Projects from Pallas Lab☆21Oct 10, 2021Updated 4 years ago
- ☆43Jan 30, 2024Updated 2 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆280Dec 8, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- An official implement of CVPR 2023 paper - NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers☆27Mar 13, 2024Updated 2 years ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆41Jan 12, 2021Updated 5 years ago
- List of papers related to neural network quantization in recent AI conferences and journals.☆835Mar 27, 2025Updated last year
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆73Oct 7, 2021Updated 4 years ago
- [ICCV 2021] Code release for "Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks"☆33Jul 24, 2022Updated 3 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆139Nov 19, 2020Updated 5 years ago
- [ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.☆377Mar 21, 2024Updated 2 years ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆52Oct 21, 2023Updated 2 years ago
- Neural Network Quantization With Fractional Bit-widths☆11Feb 19, 2021Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆49Oct 5, 2022Updated 3 years ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆31Mar 12, 2024Updated 2 years ago
- Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs☆27Jun 25, 2024Updated 2 years ago
- ☆12Aug 4, 2022Updated 3 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆16Jan 16, 2020Updated 6 years ago
- [WACV2022] Official Code for the "DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution Networks"☆27Feb 19, 2024Updated 2 years ago
- Model Quantization Benchmark☆873Apr 20, 2025Updated last year
- Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples [NeurIPS 2021]☆34Dec 12, 2021Updated 4 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Mar 3, 2020Updated 6 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Post-training sparsity-aware quantization☆34Feb 26, 2023Updated 3 years ago
- This repository contains integer operators on GPUs for PyTorch.☆235Sep 29, 2023Updated 2 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆97Jun 10, 2021Updated 5 years ago
- This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.☆89Jun 2, 2023Updated 3 years ago
- HLS code for a BNN accelerator☆17Sep 13, 2018Updated 7 years ago
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆131Jan 2, 2020Updated 6 years ago
- ☆11Apr 3, 2023Updated 3 years ago
- PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks☆789Jul 10, 2025Updated last year
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆39Mar 11, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Structured Binary Neural Networks for Image Recognition☆18Nov 18, 2021Updated 4 years ago
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆132Jul 11, 2023Updated 3 years ago
- Pytorch implementation of our paper accepted by ECCV2022 -- Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networ…☆30Sep 13, 2022Updated 3 years ago
- BitSplit Post-trining Quantization☆49Dec 20, 2021Updated 4 years ago
- Fast matrix multiplication for few-bit integer matrices on CPUs.☆29Mar 19, 2019Updated 7 years ago
- This repo is an implementation of quantized CNN for both weights (1-bit compression) and feature maps (2-bit compression).☆18Aug 22, 2018Updated 7 years ago
- ☆15Jul 25, 2024Updated last year