Alternatives and similar repositories for torchshiftadd

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

• GATECH-EIC / Auto-NBA
  [ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yonga…
  ☆16Updated 3 years ago
• hqjenny / CoDeNet
  ☆19Updated 4 years ago
• CAS-CLab / BlockConv
  [TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA
  ☆17Updated 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 2 years ago
• jgoeders / dac_sdc_2021
  ☆23Updated 3 years ago
• nimish15shah / DAG_Processor
  A DAG processor and compiler for a tree-based spatial datapath.
  ☆13Updated 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
• ttambe / AdaptivFloat
  Adaptive floating-point based numerical format for resilient deep learning
  ☆14Updated 3 years ago
• sfox14 / block_minifloat
  Training with Block Minifloat number representation
  ☆16Updated 4 years ago
• harvard-acc / EdgeBERT
  HW/SW co-design of sentence-level energy optimizations for latency-aware multi-task NLP inference
  ☆50Updated 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
• jgoeders / dac_sdc_2021_designs
  ☆20Updated 3 years ago
• deJQK / FracBits
  Neural Network Quantization With Fractional Bit-widths
  ☆12Updated 4 years ago
• fffasttime / AnyPackingNet
  ☆28Updated 4 months ago
• os-hxfan / Static_BFP_CNN
  Static Block Floating Point Quantization for CNN
  ☆34Updated 4 years ago
• isakedo / DNNsim
  ☆35Updated 5 years ago
• GATECH-EIC / ShiftAddNAS
  [ICML 2022] ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks
  ☆16Updated 3 years ago
• maestro-project / AIrchitect-v2
  [DATE 2025] Official implementation and dataset of AIrchitect v2: Learning the Hardware Accelerator Design Space through Unified Represen…
  ☆15Updated 6 months ago
• jgoeders / dac_sdc_2020_designs
  Designs for finalist teams of the DAC System Design Contest
  ☆37Updated 5 years ago
• GATECH-EIC / AutoDNNchip
  ☆71Updated 5 years ago
• Accelergy-Project / accelergy-timeloop-infrastructure
  Linux docker for the DNN accelerator exploration infrastructure composed of Accelergy and Timeloop
  ☆56Updated 3 months 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…
  ☆20Updated 5 years ago
• horizon-research / systolic-array-dataflow-optimizer
  A general framework for optimizing DNN dataflow on systolic array
  ☆39Updated 4 years ago
• PannenetsF / TQT
  TQT's pytorch implementation.
  ☆21Updated 3 years ago
• e-dupuis / awesome-approximate-dnn
  Curated content for DNN approximation, acceleration ... with a focus on hardware accelerator and deployment
  ☆27Updated last year
• gicLAB / SECDA
  ☆25Updated 2 years ago
• PSCLab-ASU / Systolic-CNN
  ☆16Updated 4 years ago
• ACADLab / SA-DS
  ☆12Updated last year
• SeoLabCornell / torch2chip
  Torch2Chip (MLSys, 2024)
  ☆53Updated 4 months ago
• dimdano / adapt
  Fast Emulation of Approximate DNN Accelerators in PyTorch
  ☆24Updated last year