A curated list of binary neural network research papers and software packages.

TensorFlow-based neural network library

Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule

Reproduction of "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization" for the Reproducibility challenge@NeurIPS19

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

Large Model Support in Tensorflow

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

YoloV3 Implemented in Tensorflow 2.0

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

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

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

SciPy library main repository

Polyaxon Clients & Langange SDKS

TensorFlow binaries supporting AVX, FMA, SSE

Implementation for Trained Ternary Network.

Tensorflow Wheels

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

The uncompromising Python code formatter

TensorFlow's Visualization Toolkit

Models and examples built with TensorFlow

Polyaxon Core Client & CLI to streamline MLOps

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"

An Open Source Machine Learning Framework for Everyone

dabnn is an accelerated binary neural networks inference framework for mobile platform

An AMR based open-source code for numerical relativity simulations.

Public facing deeplift repo

Binarized Neural Network (BNN) for pytorch

The fundamental package for scientific computing with Python.