Alternatives and similar repositories for ICCV_2021_AFP

Users that are interested in ICCV_2021_AFP are comparing it to the libraries listed below

• mean9park / BitFusion-verilog
  bitfusion verilog implementation
  ☆10Updated 3 years ago
• CASR-HKU / DPACS
  ☆18Updated 2 years ago
• fffasttime / AnyPackingNet
  ☆27Updated 2 months ago
• CASR-HKU / MSD-FCCM23
  Open-source of MSD framework
  ☆16Updated last year
• yanghr / BSQ
  BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)
  ☆40Updated 4 years ago
• mustard-seed / SparseDNNAccelerator
  Sparse CNN Accelerator targeting Intel FPGA
  ☆12Updated 3 years ago
• jeffreyyu0602 / quantized-training
  ☆29Updated last week
• I-Doctor / RTL_library_of_basic_hardware_units
  Here are some implementations of basic hardware units in RTL language (verilog for now), which can be used for area/power evaluation and …
  ☆11Updated last year
• dubcyfor3 / Prosperity
  The official implementation of HPCA 2025 paper, Prosperity: Accelerating Spiking Neural Networks via Product Sparsity
  ☆31Updated 4 months ago
• isakedo / DNNsim
  ☆35Updated 4 years ago
• RuokaiYin / LoAS
  LoAS: Fully Temporal-Parallel Dataflow for Dual-Sparse Spiking Neural Networks, MICRO 2024.
  ☆11Updated 3 months ago
• Zhu-Zixuan / Bitlet-PE
  A bit-level sparsity-awared multiply-accumulate process element.
  ☆16Updated 11 months ago
• maestro-project / confuciux
  ☆33Updated 3 years ago
• dimdano / adapt
  Fast Emulation of Approximate DNN Accelerators in PyTorch
  ☆23Updated last year
• pku-liang / Sanger
  A co-design architecture on sparse attention
  ☆52Updated 3 years ago
• zhexinli / Q-ViT-DeiT
  DeiT implementation for Q-ViT
  ☆25Updated 2 months ago
• RuokaiYin / MINT_Quantization
  MINT, Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks, ASP-DAC 2024, Nominated for Best Paper Award
  ☆14Updated last year
• KULeuven-MICAS / DeFiNES
  A framework for fast exploration of the depth-first scheduling space for DNN accelerators
  ☆39Updated 2 years ago
• cornell-zhang / FracBNN
  FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations
  ☆94Updated 3 years ago
• hatsu3 / Sanger
  ☆47Updated 3 years ago
• hqjenny / CoDeNet
  ☆19Updated 4 years ago
• jha-lab / acceltran
  [TCAD'23] AccelTran: A Sparsity-Aware Accelerator for Transformers
  ☆46Updated last year
• clevercool / ANT-Quantization
  ☆101Updated last year
• maestro-project / gamma
  ☆41Updated 11 months ago
• Zhu-Zhenhua / MNSIM_Python
  MNSIM_Python_v1.0. The former circuits-level version link: https://github.com/Zhu-Zhenhua/MNSIM_V1.1
  ☆34Updated last year
• 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
• deJQK / FracBits
  Neural Network Quantization With Fractional Bit-widths
  ☆12Updated 4 years ago
• Accelergy-Project / micro22-sparseloop-artifact
  MICRO22 artifact evaluation for Sparseloop
  ☆44Updated 2 years ago
• aojunzz / DominoSearch
  ☆19Updated 3 years ago
• GATECH-EIC / AutoDNNchip
  ☆71Updated 5 years ago