cedrickchee / awesome-ml-model-compressionLinks
Awesome machine learning model compression research papers, quantization, tools, and learning material.
☆540Updated last year
Alternatives and similar repositories for awesome-ml-model-compression
Users that are interested in awesome-ml-model-compression are comparing it to the libraries listed below
Sorting:
- Collection of recent methods on (deep) neural network compression and acceleration.☆955Updated 10 months ago
- Summary, Code for Deep Neural Network Quantization☆559Updated 7 months ago
- ☆669Updated 4 years ago
- Papers for deep neural network compression and acceleration☆403Updated 4 years ago
- papers about model compression☆166Updated 2 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆449Updated 2 years ago
- A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are co…☆2,319Updated last week
- A curated list of neural network pruning resources.☆2,490Updated last year
- A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures,…☆857Updated 4 years ago
- List of papers related to neural network quantization in recent AI conferences and journals.☆792Updated 10 months ago
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆453Updated 2 years ago
- A general and accurate MACs / FLOPs profiler for PyTorch models☆635Updated 6 months ago
- A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.☆364Updated last year
- Model Quantization Benchmark☆857Updated 9 months ago
- [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment☆1,939Updated 2 years ago
- OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM☆310Updated last year
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆280Updated 2 years ago
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,516Updated 5 years ago
- knowledge distillation papers☆767Updated 2 years ago
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆432Updated 2 years ago
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆400Updated 4 years ago
- A simple network quantization demo using pytorch from scratch.☆543Updated 2 years ago
- ☆208Updated 4 years ago
- A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quan…☆652Updated 2 years ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆283Updated last year
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆263Updated 2 years ago
- On-the-fly Structured Pruning for PyTorch models. This library implements several attributions metrics and structured pruning utils for n…☆167Updated 5 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆289Updated 4 years ago
- Repository to track the progress in model compression and acceleration☆106Updated 4 years ago
- Awesome Pruning. ✅ Curated Resources for Neural Network Pruning.☆173Updated last year