Alternatives and similar repositories for aimet-model-zoo

Users that are interested in aimet-model-zoo are comparing it to the libraries listed below

• ThanatosShinji / onnx-tool
  A parser, editor and profiler tool for ONNX models.
  ☆442Updated 2 weeks ago
• Qualcomm-AI-research / transformer-quantization
  ☆204Updated 3 years ago
• quic / aimet
  AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
  ☆2,340Updated this week
• leimao / PyTorch-Quantization-Aware-Training
  PyTorch Quantization Aware Training Example
  ☆136Updated last year
• NVIDIA / sampleQAT
  Inference of quantization aware trained networks using TensorRT
  ☆82Updated 2 years ago
• fumihwh / onnx-pytorch
  A code generator from ONNX to PyTorch code
  ☆138Updated 2 years ago
• jakc4103 / DFQ
  PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.
  ☆262Updated last year
• alibaba / TinyNeuralNetwork
  TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.
  ☆833Updated last month
• Jermmy / pytorch-quantization-demo
  A simple network quantization demo using pytorch from scratch.
  ☆533Updated 2 years ago
• sony / model_optimization
  Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. Th…
  ☆400Updated this week
• ModelTC / MQBench
  Model Quantization Benchmark
  ☆816Updated 2 months ago
• PINTO0309 / simple-onnx-processing-tools
  A set of simple tools for splitting, merging, OP deletion, size compression, rewriting attributes and constants, OP generation, change op…
  ☆296Updated last year
• openvinotoolkit / nncf
  Neural Network Compression Framework for enhanced OpenVINO™ inference
  ☆1,046Updated last week
• quic / qidk
  ☆143Updated 3 months ago
• onnx / optimizer
  ONNX Optimizer
  ☆723Updated last week
• Zhen-Dong / HAWQ
  Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
  ☆439Updated 2 years ago
• AI-performance / embedded-ai.bench
  benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.
  ☆204Updated 4 years ago
• DeadAt0m / LSQFakeQuantize-PyTorch
  FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch
  ☆34Updated 3 years ago
• Qualcomm-AI-research / FP8-quantization
  ☆149Updated 2 years ago
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆95Updated 3 years ago
• microsoft / onnxconverter-common
  Common utilities for ONNX converters
  ☆272Updated 6 months ago
• marcoancona / TorchPruner
  On-the-fly Structured Pruning for PyTorch models. This library implements several attributions metrics and structured pruning utils for n…
  ☆164Updated 5 years ago
• amirgholami / ZeroQ
  [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
  ☆280Updated last year
• microsoft / nn-Meter
  A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
  ☆354Updated 10 months ago
• yhhhli / BRECQ
  Pytorch implementation of BRECQ, ICLR 2021
  ☆276Updated 3 years ago
• sithu31296 / PyTorch-ONNX-TFLite
  Conversion of PyTorch Models into TFLite
  ☆382Updated 2 years ago
• ModelTC / Dipoorlet
  Offline Quantization Tools for Deploy.
  ☆129Updated last year
• yhhhli / APoT_Quantization
  PyTorch implementation for the APoT quantization (ICLR 2020)
  ☆275Updated 6 months ago
• deepglint / EasyQuant
  EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activatio…
  ☆400Updated 2 years ago
• gmalivenko / onnx-opcounter
  Count number of parameters / MACs / FLOPS for ONNX models.
  ☆93Updated 8 months ago