Alternatives and similar repositories for ebnn

Users that are interested in ebnn are comparing it to the libraries listed below

• EEESlab / CMSIS_NN-INTQ
  INT-Q Extension of the CMSIS-NN library for ARM Cortex-M target
  ☆18Updated 5 years ago
• wangmaolin / niti
  Implementation of "NITI: Training Integer Neural Networks Using Integer-only Arithmetic" on arxiv
  ☆82Updated 2 years ago
• BertMoons / QuantizedNeuralNetworks-Keras-Tensorflow
  Quantized Neural Networks - networks trained for inference at arbitrary low precision.
  ☆146Updated 7 years ago
• gplhegde / convolution-flavors
  Implementation of convolution layer in different flavors
  ☆68Updated 7 years ago
• EEESlab / CMix-NN
  CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices
  ☆43Updated 5 years ago
• ekut-es / pico-cnn
  Lightweight C implementation of CNNs for Embedded Systems
  ☆61Updated 2 years ago
• mit-han-lab / bnn-icestick
  Binary Neural Network on IceStick FPGA.
  ☆52Updated 6 years ago
• codekansas / tinier-nn
  Binarized Neural Network TF training code + C matrix / eval library.
  ☆101Updated 7 years ago
• wjc852456 / Neural-Networks-on-Silicon
  This is a collection of works on neural networks and neural accelerators.
  ☆40Updated 6 years ago
• eliberis / uNAS
  μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.
  ☆80Updated 4 years ago
• mrusci / training-mixed-precision-quantized-networks
  This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…
  ☆49Updated last year
• jaygshah / Binary-Neural-Networks
  Implemented here a Binary Neural Network (BNN) achieving nearly state-of-art results but recorded a significant reduction in memory usage…
  ☆74Updated 4 years ago
• cpetig / tflite_micro_compiler
  generate tflite micro code which bypasses the interpreter (directly calls into kernels)
  ☆80Updated 2 years ago
• jafermarq / WinogradAwareNets
  Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)
  ☆27Updated last year
• TropComplique / trained-ternary-quantization
  Reducing the size of convolutional neural networks
  ☆112Updated 7 years ago
• jaewoosong / pocketnn
  The official, proof-of-concept C++ implementation of PocketNN.
  ☆33Updated 11 months ago
• jonathanmarek1 / binarynet-tensorflow
  ☆62Updated 7 years ago
• lcskrishna / onnx-parser
  ONNX Parser is a tool that automatically generates openvx inference code (CNN) from onnx binary model files.
  ☆18Updated 6 years ago
• itayhubara / BinaryNet.tf
  BNN implementation in tensorflow
  ☆167Updated 6 years ago
• areusch / microtvm-blogpost-eval
  ☆29Updated 4 years ago
• yaysummeriscoming / BinaryNet_and_XNORNet
  Keras implementations of BinaryNet and XNORNet
  ☆55Updated 7 years ago
• akshaychawla / Binary-Neural-Networks
  Exploring "Binary Neural Networks" (https://arxiv.org/abs/1602.02830) in Theano. A set of experiments that use binarised weights and/or …
  ☆17Updated 7 years ago
• lucamocerino / Binary-Neural-Networks-PyTorch-1.0
  BNNs (XNOR, BNN and DoReFa) implementation for PyTorch 1.0+
  ☆40Updated 2 years ago
• EECS-NTNU / bismo
  BISMO: A Scalable Bit-Serial Matrix Multiplication Overlay for Reconfigurable Computing
  ☆139Updated 5 years ago
• AcrossV / Gated-XNOR
  Ternary Weights and Activations
  ☆24Updated 6 years ago
• plumerai / rethinking-bnn-optimization
  Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"
  ☆74Updated 5 years ago
• AngusG / tensorflow-xnor-bnn
  BinaryNets in TensorFlow with XNOR GEMM op
  ☆156Updated 7 years ago
• pulp-platform / fann-on-mcu
  ☆31Updated 5 years ago
• czhu95 / ternarynet
  Implementation for Trained Ternary Network.
  ☆107Updated 8 years ago
• slide-lig / tnn-train
  training ternary neural networks
  ☆13Updated 8 years ago