Pinned Repositories
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.
awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
CARLsim4
CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.
hybrid-snn-conversion
Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
pytorch-cifar
95.16% on CIFAR10 with PyTorch
Q-learn
🤔Quantum Computing
SNN
Spiking neural network
snn_toolbox
Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Sunyinqian's Repositories
Sunyinqian/awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
Sunyinqian/CARLsim4
CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.
Sunyinqian/hybrid-snn-conversion
Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
Sunyinqian/pytorch-cifar
95.16% on CIFAR10 with PyTorch
Sunyinqian/Q-learn
🤔Quantum Computing
Sunyinqian/SNN
Spiking neural network
Sunyinqian/snn_toolbox
Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
Sunyinqian/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms