Alternatives and similar repositories for pocketnn

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

• wangmaolin / niti
  Implementation of "NITI: Training Integer Neural Networks Using Integer-only Arithmetic" on arxiv
  ☆84Updated 2 years ago
• areusch / microtvm-blogpost-eval
  ☆29Updated 4 years ago
• IntelLabs / FP8-Emulation-Toolkit
  PyTorch extension for emulating FP8 data formats on standard FP32 Xeon/GPU hardware.
  ☆110Updated 6 months ago
• EEESlab / CMix-NN
  CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices
  ☆43Updated 5 years ago
• benja263 / Integer-Only-Inference-for-Deep-Learning-in-Native-C
  Converting a deep neural network to integer-only inference in native C via uniform quantization and the fixed-point representation.
  ☆24Updated 3 years ago
• maltanar / gemmbitserial
  Fast matrix multiplication for few-bit integer matrices on CPUs.
  ☆29Updated 6 years ago
• DeMoriarty / custom_matmul_kernels
  Customized matrix multiplication kernels
  ☆56Updated 3 years ago
• tairenpiao / XNOR-popcount-GEMM-PyTorch-CPU-CUDA
  A PyTorch implemenation of real XNOR-popcount (1-bit op) GEMM Linear PyTorch extension support both CPU and CUDA
  ☆22Updated 2 years ago
• EEESlab / CMSIS_NN-INTQ
  INT-Q Extension of the CMSIS-NN library for ARM Cortex-M target
  ☆18Updated 5 years ago
• dnvtmf / TBN
  TBNv2: Convolutional Neural Network With Ternary Inputs and Binary Weights
  ☆17Updated 5 years ago
• Qualcomm-AI-research / FP8-quantization
  ☆149Updated 2 years ago
• pulp-platform / dory
  A tool to deploy Deep Neural Networks on PULP-based SoC's
  ☆80Updated 4 months ago
• jafermarq / WinogradAwareNets
  Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)
  ☆27Updated last year
• mlzxy / qsparse
  Train neural networks with joint quantization and pruning on both weights and activations using any pytorch modules
  ☆42Updated 2 years ago
• ttambe / AdaptivFloat
  Adaptive floating-point based numerical format for resilient deep learning
  ☆14Updated 3 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
• gplhegde / convolution-flavors
  Implementation of convolution layer in different flavors
  ☆68Updated 7 years ago
• Shunli-Wang / Tiny-YOLO-LSQ
  This is an implementation of YOLO using LSQ network quantization method.
  ☆23Updated 3 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…
  ☆50Updated last year
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated 2 years ago
• minhhn2910 / QPyTorch
  Low Precision Arithmetic Simulation in PyTorch - extension for posit and beyond
  ☆14Updated 3 weeks ago
• jmluu / Awesome-Efficient-Training
  A collection of research papers on efficient training of DNNs
  ☆70Updated 2 years ago
• Zhen-Dong / CoDeNet
  [FPGA'21] CoDeNet is an efficient object detection model on PyTorch, with SOTA performance on VOC and COCO based on CenterNet and Co-Desi…
  ☆26Updated 2 years ago
• sfox14 / block_minifloat
  Training with Block Minifloat number representation
  ☆14Updated 4 years ago
• facebookresearch / bit
  Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer
  ☆109Updated 2 years ago
• fastmachinelearning / qonnx
  QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX
  ☆150Updated this week
• YashasSamaga / ConvolutionBuildingBlocks
  GEMM and Winograd based convolutions using CUTLASS
  ☆26Updated 4 years ago
• facebookresearch / MODel_opt
  Memory Optimizations for Deep Learning (ICML 2023)
  ☆64Updated last year
• limenghao / AdaTune
  This is the implementation for paper: AdaTune: Adaptive Tensor Program CompilationMade Efficient (NeurIPS 2020).
  ☆14Updated 4 years ago
• pulp-platform / quantlab
  ☆36Updated last year