Alternatives and similar repositories for LSQ-implementation

Users that are interested in LSQ-implementation are comparing it to the libraries listed below

• yanghr / BSQ
  BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)
  ☆40Updated 4 years ago
• CASR-HKU / MSD-FCCM23
  Open-source of MSD framework
  ☆16Updated last year
• cornell-zhang / FracBNN
  FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations
  ☆94Updated 3 years ago
• zhutmost / neuralzip
  A Out-of-box PyTorch Scaffold for Neural Network Quantization-Aware-Training (QAT) Research. Website: https://github.com/zhutmost/neuralz…
  ☆26Updated 2 years ago
• KwangHoonAn / PACT
  Reproducing Quantization paper PACT
  ☆64Updated 2 years ago
• mustard-seed / SparseDNNAccelerator
  Sparse CNN Accelerator targeting Intel FPGA
  ☆11Updated 3 years ago
• fffasttime / AnyPackingNet
  ☆27Updated 2 months ago
• ignperez-udec / MobileNet-V2-inference-HLS
  Codes to implement MobileNet V2 in a FPGA
  ☆25Updated 4 years ago
• sefaburakokcu / finn-quantized-yolo
  Low-Precision YOLO on PYNQ with FINN
  ☆31Updated last year
• aojunzz / DominoSearch
  ☆18Updated 3 years ago
• mean9park / BitFusion-verilog
  bitfusion verilog implementation
  ☆8Updated 3 years ago
• hqjenny / CoDeNet
  ☆19Updated 4 years ago
• MXHX7199 / ICCV_2021_AFP
  AFP is a hardware-friendly quantization framework for DNNs, which is contributed by Fangxin Liu and Wenbo Zhao.
  ☆12Updated 3 years ago
• AILearnerLi / DAC-SDC-2020-SEUer
  ☆26Updated 2 years ago
• heymesut / SJTU_microe
  A FPGA-based neural network inference accelerator, which won the third place in DAC-SDC
  ☆28Updated 3 years ago
• cjg91 / trans-fat
  An FPGA Accelerator for Transformer Inference
  ☆82Updated 3 years ago
• ZouJiu1 / LSQplus
  LSQ+ or LSQplus
  ☆69Updated 4 months ago
• hustzxd / LSQuantization
  The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)
  ☆134Updated 4 years ago
• CASR-HKU / DPACS
  ☆18Updated 2 years ago
• peiswang / BitSplit
  BitSplit Post-trining Quantization
  ☆50Updated 3 years ago
• albertomarchisio / SwiftTron
  ☆44Updated 2 years ago
• chiragsakhuja / spotlight
  ☆16Updated 2 years ago
• Jiawei888 / FPGA-CNN-Accelerator
  The goal of this design is to use the PYNQ-Z2 development board to design a general convolution neural network accelerator. And through r…
  ☆11Updated 4 years ago
• jonathan93sh / CNNA
  A generic Convolutional Neural Network (CNN) Accelerator (CNNA) for FPGA
  ☆24Updated 3 years ago
• xliu0709 / DACSDC2021
  ☆11Updated last year
• AiArtisan / dac_sdc_2022_champion
  ☆21Updated 2 years ago
• williamyang4978 / PipeCNN_Winograd
  An OpenCL-Based FPGA Accelerator for Compressed YOLOv2
  ☆37Updated 4 years ago
• GATECH-EIC / AutoDNNchip
  ☆71Updated 5 years ago
• jeffreyyu0602 / quantized-training
  ☆27Updated this week
• ehw-fit / tf-approximate
  Approximate layers - TensorFlow extension
  ☆27Updated last month