binarized-neural-networks
There are 31 repositories under binarized-neural-networks topic.
Efficient-ML/Awesome-Model-Quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
larq/larq
An Open-Source Library for Training Binarized Neural Networks
caiyuanhao1998/MST
A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.
larq/compute-engine
Highly optimized inference engine for Binarized Neural Networks
ashutoshbsathe/scarpet-nn
Tools and libraries to run neural networks in Minecraft :pick:
larq/zoo
Reference implementations of popular Binarized Neural Networks
plumerai/rethinking-bnn-optimization
Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"
Enderdead/Pytorch_Quantize_impls
Some recent Quantizing techniques on PyTorch
htqin/BiBench
[ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binarization.
yashkant/quantized-nets
Contains code for Binary, Ternary, N-bit Quantized and Hybrid CNNs for low precision experiments.
nikvaessen/Rethinking-Binarized-Neural-Network-Optimization
Reproduction of "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization" for the Reproducibility challenge@NeurIPS19
codezonediitj/BNN
Deep Learning Framework with a specialisation aimed for Binarized Neural Networks.
teobaluta/NPAQ
Neural Property Approximate Quantifier
ksteensig/bnn-doa-estimation
Binarized Neural Network DoA estimation
kartikgupta-at-anu/md-bnn
Code implementation of our AISTATS'21 paper "Mirror Descent View for Neural Network Quantization"
sfalkena/LAB
The official repository for the paper LAB: Learnable Activation Binarizer for Binary Neural Networks.
grassking100/bnn
An implementation of the Binarized Neural Networks
msakai/bnn-verification
BNN verification dataset for Max-SAT Evaluation 2020 and MIPLIB 2024
elimkwan/Entropy-Driven-Adaptive-Filter-for-FPGA-Object-Recognition-System
Introduce a Software Acceleration filter for Real Time Object Recognition with Binary Neural Network on FPGA
kartikgupta-at-anu/attack-bnn
Code implementation of our AAAI'22 paper "Improved Gradient-Based Adversarial Attacks for Quantized Networks"
tca19/phd-thesis
My PhD thesis with all its source files, including all .tex files and images created, as well as the slides of my defense.
yashkant/pnas-binary-nets
Progressive Neural Architecture Search coupled with Binarized CNNs to search for resource efficient and accurate architectures.
mszulc913/binnet-pytorch
Binarized Neural Networks in Pytorch with a custom CUDA XNOR kernel
Nannigalaxy/binarized-convolution-neural-network
BNN trained on Kannada MNIST
ParthLa/Training-Notaktoe-using-Reinforcement-Learning
This project involves training the game "Misere Tic Tac Toe" to the computer using Robust and Efficient Reinforcement Learning Techniques
badcortex/bnn-experiments
BEng thesis project on Binarized Neural Networks architectures.
badcortex/LowBeMi
A structured ensemble of Binarized Neural Networks for image classification on Raspberry Pi Pico
CJLlorente99/nn-accelerator-logic
This repository contains the python code related to the Master's Thesis. In particular, this code is in charge of setting up the NN and training them, calculating the importance and developing the design procedures for reducing the final logic implementation complexity.
JonathanCristovao/Covid-and-Pneumonia-Classification-Deep-Learning_TF
Binary classification between x-ray images with covid or pneumonia
volf52/deep-neural-net
A simple deep neural net class written to work with Numpy and Cupy
francisrod01/ML_image_BGR_to_gray
Dimensionality Reduction in Images for Neural Networks.