IBM / aihwkit
IBM Analog Hardware Acceleration Kit
☆386Updated this week
Alternatives and similar repositories for aihwkit:
Users that are interested in aihwkit are comparing it to the libraries listed below
- CrossSim: accuracy simulation of analog in-memory computing☆148Updated last week
- A Simulation Framework for Memristive Deep Learning Systems☆148Updated 10 months ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆140Updated last year
- Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.☆159Updated last year
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆82Updated 3 years ago
- Verilog and Python drivers and APIs for Neurram 48-core chip☆35Updated 2 years ago
- A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems☆160Updated 3 months ago
- Benchmark framework of synaptic device technologies for a simple neural network☆200Updated 3 years ago
- Central repository for all NeuroSim versions. Each version is uploaded in a separate branch. Updates to the versions will be reflected he…☆33Updated 2 weeks ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆67Updated last year
- Scalable HW-Aware Training for Analog In-Memory Computing☆19Updated last month
- ☆53Updated 2 weeks ago
- This project aims to be a collaborative effort to collect under one roof all the memristor models published to date.☆116Updated 5 years ago
- Fully opensource spiking neural network accelerator☆138Updated 2 years ago
- Timeloop performs modeling, mapping and code-generation for tensor algebra workloads on various accelerator architectures.☆372Updated this week
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆60Updated 2 weeks ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆47Updated 3 years ago
- Accelergy is an energy estimation infrastructure for accelerator energy estimations☆134Updated last month
- MRAM magnetization simulation framework. s-LLGS python and verilog-a solvers for transients simulation and Fokker-planck equation solver…☆41Updated 2 years ago
- A open source reimplementation of Google's Tensor Processing Unit (TPU).☆417Updated 7 years ago
- Exercises for exploring the Fibertree, Timeloop and Accelergy tools☆90Updated 2 months ago
- Tutorial notebooks for hls4ml☆327Updated last week
- Dataflow QNN inference accelerator examples on FPGAs☆209Updated this week
- A Python tool for computing and plotting currents and voltages in passive crossbar arrays.☆27Updated last year
- Modeling of memristors in LTSpise environment☆25Updated 5 months ago
- ODIN online-learning digital spiking neural network (SNN) processor - HDL source code and documentation.☆177Updated 5 years ago
- Notebooks and code for Neuromorphic Hardware Workshop at ISFPGA 2024.☆44Updated last year
- Torch2Chip (MLSys, 2024)☆51Updated this week
- Metrics for spiking neural networks based on torchmetrics☆11Updated last year
- Analog AI Neural Architecture Search (analog-nas) is a modular and flexible framework to facilitate implementation of Analog-aware Neural…☆47Updated 10 months ago