Alternatives and similar repositories for ai-edge-quantizer

Users that are interested in ai-edge-quantizer are comparing it to the libraries listed below

• justinchuby / model-explorer-onnx
  Visualize ONNX models with model-explorer
  ☆34Updated 2 weeks ago
• onnx / neural-compressor
  Model compression for ONNX
  ☆96Updated 6 months ago
• ARM-software / kleidiai
  This repository is a read-only mirror of https://gitlab.arm.com/kleidi/kleidiai
  ☆43Updated last week
• gau-nernst / quantized-training
  Explore training for quantized models
  ☆18Updated this week
• PINTO0309 / tflite2json2tflite
  Convert tflite to JSON and make it editable in the IDE. It also converts the edited JSON back to tflite binary.
  ☆27Updated 2 years ago
• PINTO0309 / whisper-onnx-tensorrt
  ONNX and TensorRT implementation of Whisper
  ☆63Updated 2 years ago
• microsoft / onnxconverter-common
  Common utilities for ONNX converters
  ☆270Updated 6 months ago
• fastmachinelearning / qonnx
  QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX
  ☆149Updated last week
• SonySemiconductorSolutions / mct-quantization-layers
  ☆21Updated 3 weeks ago
• PINTO0309 / sne4onnx
  A very simple tool for situations where optimization with onnx-simplifier would exceed the Protocol Buffers upper file size limit of 2GB,…
  ☆17Updated last year
• tsingmicro-toolchain / OnnxSlim
  A Toolkit to Help Optimize Large Onnx Model
  ☆158Updated last year
• pytorch-labs / triton-cpu
  An experimental CPU backend for Triton (https//github.com/openai/triton)
  ☆43Updated 2 months ago
• inisis / OnnxSlim
  A Toolkit to Help Optimize Onnx Model
  ☆153Updated this week
• sdpython / onnx-extended
  New operators for the ReferenceEvaluator, new kernels for onnxruntime, CPU, CUDA
  ☆32Updated 2 months ago
• eliberis / tflite-tools
  TFLite model analyzer & memory optimizer
  ☆127Updated last year
• saic-fi / MobileQuant
  [EMNLP Findings 2024] MobileQuant: Mobile-friendly Quantization for On-device Language Models
  ☆63Updated 8 months ago
• microsoft / onnxscript
  ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.
  ☆356Updated this week
• NVIDIA / sampleQAT
  Inference of quantization aware trained networks using TensorRT
  ☆81Updated 2 years ago
• quic / efficient-transformers
  This library empowers users to seamlessly port pretrained models and checkpoints on the HuggingFace (HF) hub (developed using HF transfor…
  ☆68Updated this week
• fumihwh / onnx-pytorch
  A code generator from ONNX to PyTorch code
  ☆138Updated 2 years ago
• facebookexperimental / protoquant
  Prototype routines for GPU quantization written using PyTorch.
  ☆21Updated 3 months ago
• google-ai-edge / ai-edge-torch
  Supporting PyTorch models with the Google AI Edge TFLite runtime.
  ☆620Updated this week
• triton-inference-server / onnxruntime_backend
  The Triton backend for the ONNX Runtime.
  ☆148Updated 3 weeks ago
• masahi / torchscript-to-tvm
  ☆69Updated 2 years ago
• google / jaxonnxruntime
  A user-friendly tool chain that enables the seamless execution of ONNX models using JAX as the backend.
  ☆110Updated 3 weeks ago
• facebookresearch / ParetoQ
  This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"
  ☆64Updated last week
• onnx / steering-committee
  Notes and artifacts from the ONNX steering committee
  ☆26Updated this week
• IntelLabs / FP8-Emulation-Toolkit
  PyTorch extension for emulating FP8 data formats on standard FP32 Xeon/GPU hardware.
  ☆110Updated 6 months ago
• Qualcomm-AI-research / FP8-quantization
  ☆149Updated 2 years ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆311Updated this week