Neuromorphic Computing Python Packages

snn-opt

A spiking neural network solver for constrained convex optimization.

creating-intelligence

A computational foundation for AGI, based on hyperdimensional computing and framed in set theory.

spikeforge

Spiking neural network (SNN) toolkit for spike encoding, LIF model training, NIR export, inference, and deployment with PyTorch and snnTorch.

spikeforge-serve

Spiking neural network (SNN) toolkit for spike encoding, LIF model training, NIR export, inference, and deployment with PyTorch and snnTorch.

spikeforge-server

Spiking neural network (SNN) toolkit for spike encoding, LIF model training, NIR export, inference, and deployment with PyTorch and snnTorch.

spikeforge-targets

Spiking neural network (SNN) toolkit for spike encoding, LIF model training, NIR export, inference, and deployment with PyTorch and snnTorch.

spikeforge-hub

Spiking neural network (SNN) toolkit for spike encoding, LIF model training, NIR export, inference, and deployment with PyTorch and snnTorch.

spikeforge-io

Spiking neural network (SNN) toolkit for spike encoding, LIF model training, NIR export, inference, and deployment with PyTorch and snnTorch.

pyaer

Low-level Python APIs for Accessing Neuromorphic Devices.

sc-neurocore

Universal Stochastic Computing Framework for Neuromorphic Hardware — Rust SIMD engine, Python simulation, Verilog RTL, HDC/VSA, SCPN integration

rf-compute

Radio Frequency as a computational substrate — one Python API across the four wave-compute lineages (metamaterials, AirComp, microwave photonics, spin-torque neuromorphic). Research and education surface with a $0-$350 hello-world ladder. MIT.

evt3

High-performance EVT3 (EVT 3.0) decoder for Prophesee / Metavision event cameras. Read .raw and HDF5 event data into NumPy, CSV or Rust — 1.62x faster than the C++ reference, byte-identical output. CLI, Python bindings and Rust library for event-based vision and neuromorphic research.

spikeforge-clients

Spiking neural network (SNN) toolkit for spike encoding, LIF model training, NIR export, inference, and deployment with PyTorch and snnTorch.

lava-nc

A Software Framework for Neuromorphic Computing

micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

biosnn-bus

脉冲神经网络认知原型：纯局部学习规则（无代理梯度）+ SNN 自主调度 LLM。Spiking neural network cognitive prototype — purely local learning rules (no surrogate gradients), SNN autonomously schedules an LLM, modality-plugin architecture. 研究原型，非生产框架 / research prototype, not a production framework.

holovec

Holographic vectors you can compute with. Bind structure, bundle sets, unbind components cross NumPy, PyTorch, and JAX.

neuroptimiser

NeurOptimiser is a neuromorphic optimisation framework in which metaheuristic search emerges from asynchronous spiking dynamics.

pyorganoid

A Python package for the simulation of organoids for the purpose of studying Organoid Intelligence (OI) and Organoid Learning (OL).

lens-vpr

Code for LENS, fully neuromorphic place recognition integrating sensors, hardware, and algorithms for robotic localization.

lava-dl

Deep Learning library for Lava

sapicore

A PyTorch-based framework for neuromorphic modeling.

pynmsnn

NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch

synaptic-ml

The TensorFlow for neuromorphic computing. Train spiking neural networks and deploy to Intel Loihi 2 at 1000x less energy than GPU.