Alternatives and similar repositories for plinio

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

• pulp-platform / pulp-trainlib
  Floating-Point Optimized On-Device Learning Library for the PULP Platform.
  ☆36Updated last month
• pulp-platform / quantlib
  A library to train and deploy quantised Deep Neural Networks
  ☆25Updated 9 months ago
• SeoLabCornell / torch2chip
  Torch2Chip (MLSys, 2024)
  ☆54Updated 5 months ago
• DeepWok / mase
  Machine-Learning Accelerator System Exploration Tools
  ☆178Updated this week
• mit-han-lab / iccad-tinyml-open
  [ICCAD'22 TinyML Contest] Efficient Heart Stroke Detection on Low-cost Microcontrollers
  ☆14Updated 2 years ago
• EEESlab / CMix-NN
  CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices
  ☆47Updated 5 years ago
• gnodipac886 / ViT-FPGA-TPU
  FPGA based Vision Transformer accelerator (Harvard CS205)
  ☆130Updated 7 months ago
• pulp-platform / Deeploy
  DNN Compiler for Heterogeneous SoCs
  ☆47Updated last week
• pulp-platform / dory
  A tool to deploy Deep Neural Networks on PULP-based SoC's
  ☆88Updated last month
• robertoBosio / NN2FPGA
  From Pytorch model to C++ for Vitis HLS
  ☆17Updated last week
• eliberis / uNAS
  μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.
  ☆81Updated 4 years ago
• sharc-lab / Edge-MoE
  Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-level Sparsity via Mixture-of-Experts
  ☆128Updated last year
• dimdano / adapt
  Fast Emulation of Approximate DNN Accelerators in PyTorch
  ☆26Updated last year
• AlexMontgomerie / fpgaconvnet-tutorial
  A collection of tutorials for the fpgaConvNet framework.
  ☆45Updated last year
• fastmachinelearning / qonnx
  QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX
  ☆161Updated this week
• aliemo / transfomers-silicon-research
  Research and Materials on Hardware implementation of Transformer Model
  ☆283Updated 7 months ago
• MartaAndronic / NeuraLUT
  NeuraLUT-Assemble
  ☆41Updated last month
• MartaAndronic / PolyLUT
  PolyLUT is the first quantized neural network training methodology that maps a neuron to a LUT while using multivariate polynomial functi…
  ☆53Updated last year
• ebby-s / MX-for-FPGA
  Implementation of Microscaling data formats in SystemVerilog.
  ☆24Updated 2 months ago
• AlexMontgomerie / fpgaconvnet-hls
  ☆32Updated 10 months ago
• eml-eda / eden
  Efficient Decision tree Ensembles library for IoT edge nodes
  ☆16Updated 7 months ago
• eml-eda / pit
  Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge
  ☆10Updated 2 years ago
• sefaburakokcu / finn-quantized-yolo
  Low-Precision YOLO on PYNQ with FINN
  ☆32Updated last year
• KULeuven-MICAS / zigzag
  HW Architecture-Mapping Design Space Exploration Framework for Deep Learning Accelerators
  ☆158Updated last month
• sjduan / LeHDC
  ☆15Updated 6 months ago
• awai54st / Enabling-Binary-Neural-Network-Training-on-the-Edge
  ☆18Updated 3 years ago
• Fiwo735 / Transformer_Neural_Network_HLS
  ☆14Updated 3 years ago
• eml-eda / messy
  Messy is an open-source framework that integrates a RISC-V ISS with SystemC-AMS
  ☆20Updated 2 weeks ago
• kachris / survey_HA_LLM
  A survey on Hardware Accelerated LLMs
  ☆59Updated 8 months ago
• cjg91 / trans-fat
  An FPGA Accelerator for Transformer Inference
  ☆90Updated 3 years ago