Alternatives and similar repositories for lptorch

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

• QianpengLi577 / Neuromorphic-Processor-paper-list
  I will share some useful or interesting papers about neuromorphic processor
  ☆25Updated 4 months ago
• ChFrenkel / ReckOn
  ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.
  ☆84Updated 3 years ago
• neurosim / MLP_NeuroSim_V3.0
  Benchmark framework of synaptic device technologies for a simple neural network
  ☆206Updated 3 years ago
• metr0jw / Spiking-Neural-Network-on-FPGA
  Leaky Integrate and Fire (LIF) model implementation for FPGA
  ☆65Updated last year
• neurosim / DNN_NeuroSim_V2.0
  Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)
  ☆48Updated 4 years ago
• amoghj98 / rcac-utils
  ☆16Updated 3 weeks ago
• neurosim / DNN_NeuroSim_V2.1
  Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)
  ☆152Updated last year
• Marco-Winzker / Spiking_NN_RGB_FPGA
  FPGA Design of a Spiking Neural Network.
  ☆39Updated last year
• rafamedina97 / FPGA_SNN_STDP
  FPGA acceleration of a Spike-Timing-Dependent Plasticity learning algorithm for Spiking Neural Networks
  ☆36Updated 4 years ago
• SNU-HPCS / NeuroSync
  NeuroSync: A Scalable and Accurate Brain Simulation System using Safe and Efficient Speculation (HPCA 2022)
  ☆12Updated 2 years ago
• thu-nics / MNSIM-2.0
  A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems
  ☆167Updated 6 months ago
• KULeuven-MICAS / zigzag
  HW Architecture-Mapping Design Space Exploration Framework for Deep Learning Accelerators
  ☆150Updated 2 months ago
• Intelligent-Computing-Lab-Yale / SATA
  An energy simulation framework for BPTT-based SNN inference and training.
  ☆16Updated last year
• saunak1994 / CyNAPSEv11
  The CyNAPSE Neuromorphic Accelerator: A Digital Spiking neural network accelerator written in fully synthesizable verilog HDL
  ☆34Updated 5 years ago
• mladenovvaleri / Advanced-Memristor-Modeling-in-LTSpise
  Modeling of memristors in LTSpise environment
  ☆29Updated 7 months ago
• mean9park / BitFusion-verilog
  bitfusion verilog implementation
  ☆8Updated 3 years ago
• arkhodamoradi / s2n2
  ☆17Updated 4 years ago
• mit-emze / cimloop
  ☆57Updated last month
• robertoBosio / NN2FPGA
  From Pytorch model to C++ for Vitis HLS
  ☆16Updated last week
• ChFrenkel / ODIN
  ODIN online-learning digital spiking neural network (SNN) processor - HDL source code and documentation.
  ☆185Updated 6 years ago
• snagiri / CSE237D-PYNQ-SNN-Accelerator
  Hardware implementation of Spiking Neural Network on a PYNQ-Z1 board
  ☆36Updated 5 years ago
• mit-emze / raella
  ☆9Updated last year
• neurosim / DNN_NeuroSim_V1.4
  Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)
  ☆68Updated 2 months ago
• oshears / SNN-FPGA-Implementation
  ☆19Updated 4 years ago
• arasi15 / CNN-Accelerator-Implementation-based-on-Eyerissv2
  ☆111Updated 4 years ago
• neurosim / DNN_NeuroSim_V1.1
  Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)
  ☆21Updated 4 years ago
• doitdodo / FPGA_Spiking_NN
  CORDIC-SNN, followed with "Unsupervised learning of digital recognition using STDP" published in 2015, frontiers
  ☆23Updated 5 years ago
• cornell-zhang / FracBNN
  FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations
  ☆94Updated 3 years ago
• YulhwaKim / RRAMScalable_BNN
  Neural Network-Hardware Co-design for Scalable RRAM-based BNN Accelerators
  ☆11Updated 6 years ago
• elliothe / pytorx
  Neural Network Evaluation Tool on Crossbar-based Accelerator with Resistive Memory
  ☆40Updated 5 years ago