mixed-precision topic
BitPack
BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.
HAWQ
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
OpenSeq2Seq
Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
Improved-Body-Parts
Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
haq
[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
mixed-precision-pytorch
Training with FP16 weights in PyTorch
verificarlo
A tool for debugging and assessing floating point precision and reproducibility.
prism
High Resolution Style Transfer in PyTorch with Color Control and Mixed Precision :art:
tfbert
基于tensorflow1.x的预训练模型调用,支持单机多卡、梯度累积,XLA加速,混合精度。可灵活训练、验证、预测。
CMix-NN
CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices