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Projects in Awesome Lists tagged with bnn

A curated list of projects in awesome lists tagged with bnn .

https://github.com/666DZY666/micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

batch-normalization-fuse bnn convolutional-networks dorefa group-convolution integer-arithmetic-only model-compression network-in-network network-slimming neuromorphic-computing onnx post-training-quantization pruning pytorch quantization quantization-aware-training tensorrt tensorrt-int8-python twn xnor-net

Last synced: 20 Mar 2025

https://github.com/AdamCobb/hamiltorch

PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks

bnn hmc pytorch

Last synced: 27 Mar 2025

https://github.com/larq/compute-engine

Highly optimized inference engine for Binarized Neural Networks

aarch32 aarch64 android armv7 armv8 binarized-neural-networks bnn inference keras larq mlir raspberry-pi simd tensorflow tflite

Last synced: 15 May 2025

https://github.com/khinthandarkyaw98/bf-ris-channel-covariance-deeplearning

Optimization of Transmit Beamforming based on Unsupervised Learning With Channel Covariances for MISO Downlink Assisted by Reconfigurable Intelligent Surfaces

beamforming bnn deeplearning downlink keras miso numpy optimization python3 reconfigurable-intelligent-surfaces tensorflow transmit unsupervised-learning waterfilling zeroforcing

Last synced: 14 Apr 2025

https://github.com/marph91/pocket-bnn

BNN-to-FPGA framework, written in VHDL and Python

bnn cnn cnn-architecture deep-learning fpga hardware image-processing larq python ulx3s vhdl

Last synced: 16 Apr 2025

https://github.com/atislabs/tinyml.jl

A set of ML algorithms focused on low-end hardware with bit neural networks.

binary-neural-networks bit-neural-networks bnn deep-learning flux machine-learning reinforcement-learning

Last synced: 16 Mar 2025

https://github.com/ludwigwinkler/pytorch_ProbabilisticLayers

Bayesian Neural Networks with Parallelized Sampling of LogLikelihood

bayesianneuralnetwork bnn pytorch

Last synced: 23 Nov 2024

https://github.com/bontempogianpaolo1/consunsus-on-multi-omics

Multi-omics classification on kidney samples exploiting uncertainty-aware models

bnn consensus machine-learning mlp neural-network

Last synced: 18 Feb 2025

https://github.com/ittuann/stm32-binarized-neural-networks

Deploying Binarized Neural Network (BNN) implementation on any MCU like STM32.

ai bnn stm32

Last synced: 24 Feb 2025

https://github.com/volf52/deep-neural-net

A simple deep neural net class written to work with Numpy and Cupy

binarized-neural-networks binary-neural-networks bnn cupy deep-learning deep-neural-networks mnist numpy python python3

Last synced: 26 Mar 2025