Alternatives and similar repositories for iccad-tinyml-open

Users that are interested in iccad-tinyml-open are comparing it to the libraries listed below

• EEESlab / CMix-NN
  CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices
  ☆47Updated 5 years ago
• aztc / EtinyNet
  ☆25Updated 3 years ago
• cjg91 / trans-fat
  An FPGA Accelerator for Transformer Inference
  ☆91Updated 3 years ago
• AlexMontgomerie / fpgaconvnet-tutorial
  A collection of tutorials for the fpgaConvNet framework.
  ☆45Updated last year
• tinymlcontest / tinymlcontest2022_demo_example
  ☆26Updated 2 years ago
• ebby-s / MX-for-FPGA
  Implementation of Microscaling data formats in SystemVerilog.
  ☆24Updated 3 months ago
• pulp-platform / dory
  A tool to deploy Deep Neural Networks on PULP-based SoC's
  ☆88Updated 2 months ago
• fffasttime / AnyPackingNet
  ☆30Updated 6 months ago
• pulp-platform / pulp-trainlib
  Floating-Point Optimized On-Device Learning Library for the PULP Platform.
  ☆36Updated last month
• DPCEKY / systolic-array
  HLS implemented systolic array structure
  ☆41Updated 7 years ago
• CASR-HKU / MSD-FCCM23
  Open-source of MSD framework
  ☆16Updated 2 years ago
• arc-research-lab / CHARM
  CHARM: Composing Heterogeneous Accelerators on Heterogeneous SoC Architecture
  ☆157Updated this week
• jha-lab / acceltran
  [TCAD'23] AccelTran: A Sparsity-Aware Accelerator for Transformers
  ☆51Updated last year
• KULeuven-MICAS / stream
  Multi-core HW accelerator mapping optimization framework for layer-fused ML workloads.
  ☆59Updated 3 months ago
• cornell-zhang / FracBNN
  FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations
  ☆94Updated 4 years ago
• dimdano / adapt
  Fast Emulation of Approximate DNN Accelerators in PyTorch
  ☆26Updated last year
• fastmachinelearning / qonnx
  QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX
  ☆161Updated this week
• DNN-Accelerators / Open-Source-IPs
  ☆35Updated 6 years ago
• pierpaolomori / SemanticSegmentationFPGA
  ☆11Updated 3 years ago
• CASR-HKU / DPACS
  ☆18Updated 2 years ago
• DD-DuDa / awesome-vit-quantization-acceleration
  List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.
  ☆94Updated last year
• Fiwo735 / Transformer_Neural_Network_HLS
  ☆14Updated 3 years ago
• KULeuven-MICAS / zigzag
  HW Architecture-Mapping Design Space Exploration Framework for Deep Learning Accelerators
  ☆160Updated last month
• gnodipac886 / ViT-FPGA-TPU
  FPGA based Vision Transformer accelerator (Harvard CS205)
  ☆130Updated 7 months ago
• ZhangYuQAQ / Hardware-Acceleration-Circuit-Design-of-Object-Detection-Network-Based-on-FPGA
  2020 xilinx summer school
  ☆18Updated 5 years ago
• jgoeders / dac_sdc_2022
  ☆17Updated 3 years ago
• jeffreyyu0602 / quantized-training
  ☆31Updated last week
• AiArtisan / dac_sdc_2022_champion
  ☆21Updated 2 years ago
• SeoLabCornell / torch2chip
  Torch2Chip (MLSys, 2024)
  ☆54Updated 6 months ago
• hguq / HG-PIPE
  FPGA-based hardware accelerator for Vision Transformer (ViT), with Hybrid-Grained Pipeline.
  ☆95Updated 8 months ago