791136190 / awesome-qat
☆21Updated 3 years ago
Alternatives and similar repositories for awesome-qat:
Users that are interested in awesome-qat are comparing it to the libraries listed below
- quantize aware training package for NCNN on pytorch☆70Updated 3 years ago
- symmetric int8 gemm☆66Updated 4 years ago
- arm-neon☆90Updated 8 months ago
- base quantization methods including: QAT, PTQ, per_channel, per_tensor, dorefa, lsq, adaround, omse, Histogram, bias_correction.etc☆43Updated 2 years ago
- ☆98Updated 3 years ago
- ONNX2Pytorch☆161Updated 4 years ago
- A nnie quantization aware training tool on pytorch.☆239Updated 4 years ago
- Offline Quantization Tools for Deploy.☆126Updated last year
- Inference of quantization aware trained networks using TensorRT☆80Updated 2 years ago
- One stage object detection model based on YOLOv3, written in PyTorch.☆9Updated 2 years ago
- Tengine Convert Tool supports converting multi framworks' models into tmfile that suitable for Tengine-Lite AI framework.☆93Updated 3 years ago
- A set of examples around MegEngine☆31Updated last year
- MegEngine到其他框架的转换器☆69Updated last year
- ☆80Updated 4 years ago
- PyTorch Quantization Aware Training Example☆135Updated 10 months ago
- ☆95Updated 3 years ago
- Everything in Torch Fx☆341Updated 10 months ago
- NART = NART is not A RunTime, a deep learning inference framework.☆38Updated 2 years ago
- ☆19Updated 3 weeks ago
- Based of paper "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"☆63Updated 4 years ago
- ☆71Updated 2 years ago
- Simulate quantization and quantization aware training for MXNet-Gluon models.☆46Updated 4 years ago
- ncnn is a high-performance neural network inference framework optimized for the mobile platform☆14Updated 2 years ago
- An 8bit automated quantization conversion tool for the pytorch (Post-training quantization based on KL divergence)☆33Updated 5 years ago
- Tengine gemm tutorial, step by step☆13Updated 4 years ago
- ☆44Updated 4 months ago
- benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.☆204Updated 4 years ago
- EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activatio…☆396Updated 2 years ago
- A simple tutorial of SNPE.☆168Updated 2 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆95Updated 3 years ago