rachmadvwp

cimloop

Brain-Cog

Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. The long term goal of BrainCog is to provide a comprehensive theory and system to decode the mechanisms and principles of human intelligence and its evolution, and develop artificial brains for brain-inspired conscious living AI in future Human-AI symbiotic Society.

Brain-Cog

Brain-inspired Cognitive Intelligence Engine (BrainCog)

Neuromorphic-Processor-paper-list

I will share some useful or interesting papers about neuromorphic processor

scale-sim-v2

Repository to host and maintain scale-sim-v2 code

conn2res

A reservoir computing toolbox for neuroscientists

carla

Open-source simulator for autonomous driving research.

IsaacGymEnvs

Isaac Gym Reinforcement Learning Environments

quanto

A pytorch Quantization Toolkit

Spike-Driven-Transformer

Offical implementation of "Spike-driven Transformer" (NeurIPS2023)

yolov9

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

awesome-neuromorphic-hw

Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.

awesome-neuromorphic-hw

Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.

open-neuromorphic

List of open source neuromorphic projects: SNN training frameworks, DVS handling routines and so on.

SNN-Daily-Arxiv

Update arXiv papers about Spiking Neural Networks daily.

TAttentionSNN

Offical implementation of "Temporal-wise Attention Spiking Neural Networks for Event Streams Classification" (ICCV2021)

SpikingTransformerV2

Offical implementation of "Spike-driven Transformer: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips" (ICLR2024)

pulp-trainlib

Floating-Point Optimized On-Device Learning Library for the PULP Platform.

Depth-Anything

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

TinyGPT-V

TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones

akida_dw_edma

akida_examples

Brainchip Akida Neuromorphic System-on-Chip examples and documentation.

neurobench

Benchmark harness and baseline results for the NeuroBench algorithm track.

AI-Chip

A list of ICs and IPs for AI, Machine Learning and Deep Learning.

llmware

Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.

SNASNet

Neural Architecture Search for Spiking Neural Networks, ECCV2022

llmware

Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.

tinyengine

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory

tinyml

tinyml project from MIT Han Lab

tinyml