IBM / aihwkitLinks
IBM Analog Hardware Acceleration Kit
☆422Updated 2 months ago
Alternatives and similar repositories for aihwkit
Users that are interested in aihwkit are comparing it to the libraries listed below
Sorting:
- A Simulation Framework for Memristive Deep Learning Systems☆161Updated last year
- CrossSim: accuracy simulation of analog in-memory computing☆172Updated 5 months ago
- Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.☆178Updated last year
- Benchmark framework of synaptic device technologies for a simple neural network☆211Updated 3 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆160Updated last year
- Central repository for all NeuroSim versions. Each version is uploaded in a separate branch. Updates to the versions will be reflected he…☆64Updated last week
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆86Updated 3 years ago
- A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems☆173Updated 9 months ago
- Scalable HW-Aware Training for Analog In-Memory Computing☆24Updated this week
- ☆66Updated 3 weeks ago
- Hyperdimensional computing for language recognition: Matlab and RTL implementations☆37Updated 8 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆52Updated 4 years ago
- Tutorial notebooks for hls4ml☆362Updated 2 weeks ago
- Fully opensource spiking neural network accelerator☆154Updated 2 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆72Updated last year
- This project aims to be a collaborative effort to collect under one roof all the memristor models published to date.☆124Updated 6 years ago
- High Granularity Quantizarion for Ultra-Fast Machine Learning Applications on FPGAs☆33Updated last month
- Verilog and Python drivers and APIs for Neurram 48-core chip☆40Updated 3 years ago
- Analog AI Neural Architecture Search (analog-nas) is a modular and flexible framework to facilitate implementation of Analog-aware Neural…☆49Updated 3 months ago
- ☆37Updated last year
- Notebooks for Hardware-Aware Training of Spiking Neural Networks. Open-Source Neuromorphic Circuit Design Tutorial at ESSCIRC 2023.☆23Updated last year
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆73Updated 5 months ago
- Accelergy is an energy estimation infrastructure for accelerator energy estimations☆147Updated 3 months ago
- Neural Network Evaluation Tool on Crossbar-based Accelerator with Resistive Memory☆41Updated 5 years ago
- Timeloop performs modeling, mapping and code-generation for tensor algebra workloads on various accelerator architectures.☆415Updated last month
- Modeling of memristors in LTSpise environment☆33Updated last month
- An analytical cost model evaluating DNN mappings (dataflows and tiling).☆225Updated last year
- A list of neuromorphic software projects☆247Updated last month
- This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆84Updated last year
- Stochastic Computing for Deep Neural Networks☆33Updated 4 years ago