Alternatives and similar repositories for Auto-NBA

Users that are interested in Auto-NBA are comparing it to the libraries listed below

• fffasttime / AnyPackingNet
  ☆32Updated 9 months ago
• hqjenny / CoDeNet
  ☆19Updated 4 years ago
• GATECH-EIC / torchshiftadd
  An open-sourced PyTorch library for developing energy efficient multiplication-less models and applications.
  ☆14Updated 11 months ago
• dimdano / adapt
  Fast Emulation of Approximate DNN Accelerators in PyTorch
  ☆29Updated last year
• sfox14 / block_minifloat
  Training with Block Minifloat number representation
  ☆18Updated 4 years ago
• nimish15shah / DAG_Processor
  A DAG processor and compiler for a tree-based spatial datapath.
  ☆15Updated 3 years ago
• GATECH-EIC / DNN-Chip-Predictor
  [ICASSP'20] DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architecture…
  ☆25Updated 3 years ago
• deJQK / FracBits
  Neural Network Quantization With Fractional Bit-widths
  ☆11Updated 4 years ago
• GATECH-EIC / AutoDNNchip
  ☆71Updated 5 years ago
• lukasc-ch / ExtendedBitPlaneCompression
  Provides the code for the paper "EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators" by Luk…
  ☆19Updated 6 years ago
• isakedo / DNNsim
  ☆35Updated 5 years ago
• AlexMontgomerie / samo
  SAMO: Streaming Architecture Mapping Optimisation
  ☆34Updated 2 years ago
• abdelfattah-lab / BRAMAC
  ☆10Updated last year
• yanghr / BSQ
  BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)
  ☆42Updated 5 years ago
• ttambe / AdaptivFloat
  Adaptive floating-point based numerical format for resilient deep learning
  ☆14Updated 3 years ago
• awai54st / LUTNet
  ☆64Updated 5 years ago
• os-hxfan / Static_BFP_CNN
  Static Block Floating Point Quantization for CNN
  ☆37Updated 4 years ago
• UCLA-VAST / FlexCNN
  ☆72Updated 2 years ago
• enyac-group / MaxEVA
  MaxEVA: Maximizing the Efficiency of Matrix Multiplication on Versal AI Engine (accepted as full paper at FPT'23)
  ☆21Updated last year
• jgoeders / dac_sdc_2020_designs
  Designs for finalist teams of the DAC System Design Contest
  ☆37Updated 5 years ago
• cornell-zhang / FracBNN
  FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations
  ☆96Updated 4 years ago
• maestro-project / confuciux
  ☆32Updated 4 years ago
• harvard-acc / EdgeBERT
  HW/SW co-design of sentence-level energy optimizations for latency-aware multi-task NLP inference
  ☆54Updated last year
• AaronJing / ApproxTrain
  ☆20Updated 11 months ago
• horizon-research / systolic-array-dataflow-optimizer
  A general framework for optimizing DNN dataflow on systolic array
  ☆38Updated 5 years ago
• heymesut / SJTU_microe
  A FPGA-based neural network inference accelerator, which won the third place in DAC-SDC
  ☆28Updated 3 years ago
• elliothe / N3H_Core
  [FPGA-2022] N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores
  ☆11Updated 4 years ago
• jgoeders / dac_sdc_2021
  ☆23Updated 4 years ago
• sharc-lab / DGNN-Booster
  ☆16Updated 2 years ago
• CASR-HKU / DPACS
  ☆19Updated 2 years ago