quic / aimetLinks
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
☆2,364Updated this week
Alternatives and similar repositories for aimet
Users that are interested in aimet are comparing it to the libraries listed below
Sorting:
- ☆331Updated last year
- PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT☆2,795Updated this week
- SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX R…☆2,449Updated this week
- Neural Network Compression Framework for enhanced OpenVINO™ inference☆1,055Updated this week
- [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment☆1,925Updated last year
- TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.☆834Updated last month
- Simplify your onnx model☆4,114Updated 10 months ago
- ONNX Optimizer☆727Updated this week
- A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are co…☆2,157Updated 4 months ago
- A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.☆1,526Updated 4 months ago
- ☆928Updated last year
- Tensorflow Backend for ONNX☆1,308Updated last year
- Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX☆2,441Updated last week
- Model Quantization Benchmark☆819Updated 2 months ago
- Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massiv…☆825Updated this week
- High-efficiency floating-point neural network inference operators for mobile, server, and Web☆2,060Updated this week
- [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep L…☆877Updated 7 months ago
- A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.☆1,539Updated this week
- Reference implementations of MLPerf™ inference benchmarks☆1,408Updated this week
- A unified library of state-of-the-art model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. …☆1,028Updated last week
- A parser, editor and profiler tool for ONNX models.☆442Updated last month
- ONNX-TensorRT: TensorRT backend for ONNX☆3,103Updated 3 weeks ago
- Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distille…☆4,398Updated 2 years ago
- Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn☆1,271Updated last week
- Collection of recent methods on (deep) neural network compression and acceleration.☆948Updated 3 months ago
- Supporting PyTorch models with the Google AI Edge TFLite runtime.☆697Updated last week
- Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. Th…☆404Updated this week
- [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep L…☆583Updated last year
- An Open-Source Library for Training Binarized Neural Networks☆719Updated 10 months ago
- Tutorials for creating and using ONNX models☆3,565Updated 11 months ago