IBM / aihwkitLinks
IBM Analog Hardware Acceleration Kit
☆425Updated last week
Alternatives and similar repositories for aihwkit
Users that are interested in aihwkit are comparing it to the libraries listed below
Sorting:
- CrossSim: accuracy simulation of analog in-memory computing☆173Updated 6 months ago
- A Simulation Framework for Memristive Deep Learning Systems☆163Updated last year
- Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.☆181Updated last year
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆164Updated last year
- Central repository for all NeuroSim versions. Each version is uploaded in a separate branch. Updates to the versions will be reflected he…☆70Updated 3 weeks ago
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆86Updated 3 years ago
- Benchmark framework of synaptic device technologies for a simple neural network☆212Updated 3 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆52Updated 4 years ago
- A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems☆175Updated 10 months ago
- Scalable HW-Aware Training for Analog In-Memory Computing☆30Updated last week
- Verilog and Python drivers and APIs for Neurram 48-core chip☆40Updated 3 years ago
- Fully opensource spiking neural network accelerator☆155Updated 2 years ago
- A list of neuromorphic software projects☆250Updated 2 months ago
- Notebooks and code for Neuromorphic Hardware Workshop at ISFPGA 2024.☆56Updated last year
- Notebooks for Hardware-Aware Training of Spiking Neural Networks. Open-Source Neuromorphic Circuit Design Tutorial at ESSCIRC 2023.☆24Updated 2 years ago
- ☆48Updated last year
- Tutorial notebooks for hls4ml☆371Updated this week
- This project aims to be a collaborative effort to collect under one roof all the memristor models published to date.☆125Updated 6 years ago
- Stochastic Computing for Deep Neural Networks☆33Updated 4 years ago
- High Granularity Quantizarion for Ultra-Fast Machine Learning Applications on FPGAs☆34Updated 2 months ago
- Analog AI Neural Architecture Search (analog-nas) is a modular and flexible framework to facilitate implementation of Analog-aware Neural…☆49Updated last week
- Hyperdimensional computing for language recognition: Matlab and RTL implementations☆37Updated 8 years ago
- Metrics for spiking neural networks based on torchmetrics☆13Updated 2 years ago
- ☆38Updated last year
- Accelergy is an energy estimation infrastructure for accelerator energy estimations☆149Updated 4 months ago
- Quantization-aware training with spiking neural networks☆48Updated 3 years ago
- The official implementation of HPCA 2025 paper, Prosperity: Accelerating Spiking Neural Networks via Product Sparsity☆36Updated last month
- ☆66Updated last month
- Modeling of memristors in LTSpise environment☆33Updated last month
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆73Updated 6 months ago