quic / aimet-model-zooLinks
☆334Updated last year
Alternatives and similar repositories for aimet-model-zoo
Users that are interested in aimet-model-zoo are comparing it to the libraries listed below
Sorting:
- A parser, editor and profiler tool for ONNX models.☆447Updated this week
- TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.☆838Updated 2 months ago
- PyTorch Quantization Aware Training Example☆138Updated last year
- Inference of quantization aware trained networks using TensorRT☆83Updated 2 years ago
- FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch☆34Updated 3 years ago
- ☆151Updated last month
- Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. Th…☆409Updated 3 weeks ago
- Transform ONNX model to PyTorch representation☆338Updated 8 months ago
- A simple network quantization demo using pytorch from scratch.☆536Updated 2 years ago
- A code generator from ONNX to PyTorch code☆138Updated 2 years ago
- Model Quantization Benchmark☆827Updated 3 months ago
- ☆205Updated 3 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆262Updated last year
- Count number of parameters / MACs / FLOPS for ONNX models.☆94Updated 9 months ago
- OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM☆308Updated 10 months ago
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆443Updated 2 years ago
- AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.☆2,387Updated this week
- Offline Quantization Tools for Deploy.☆132Updated last year
- A set of simple tools for splitting, merging, OP deletion, size compression, rewriting attributes and constants, OP generation, change op…☆296Updated last year
- Pytorch implementation of BRECQ, ICLR 2021☆282Updated 4 years ago
- A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.☆357Updated last year
- benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.☆204Updated 4 years ago
- A model compression and acceleration toolbox based on pytorch.☆331Updated last year
- ONNX Optimizer☆737Updated last week
- [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer☆347Updated 2 years ago
- Roughly calculate FLOPs of a tflite model☆38Updated 4 years ago
- Conversion of PyTorch Models into TFLite☆389Updated 2 years ago
- TFLite model analyzer & memory optimizer☆129Updated last year
- PyTorch implementation for the APoT quantization (ICLR 2020)☆277Updated 7 months ago
- Common utilities for ONNX converters☆276Updated 3 weeks ago