Popular GitHub Repositories for Quantized Neural Networks

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

An Open-Source Library for Training Binarized Neural Networks

QKeras: a quantization deep learning library for Tensorflow Keras

Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.

The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment

[CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework

QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX

BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.

CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices

Efficient Neural Architecture Search coupled with Quantized CNNs to search for resource efficient and accurate architectures.

Code implementation of our AAAI'22 paper "Improved Gradient-Based Adversarial Attacks for Quantized Networks"

Quantized training using Keras

Homework for Graduate Deep Learning Course

MACHINE LEARNING AND DEEP LEARNING ENGG SKILLS

Code repository for the paper Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations