Hierarchical Reasoning Model Official Release
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Updated
Aug 31, 2025 - Python
Hierarchical Reasoning Model Official Release
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…
螺旋熵减系统
螺旋熵减理论
This repository aims to bridge the gap between artificial neural networks and biological brain mechanisms, fostering interdisciplinary research in cognitive computing, neuromorphic engineering, and biologically-inspired AI.
Toolchain of PAICORE.
The official PyTorch code for AAAI'23 Paper "Sparse Coding in a Dual Memory System for Lifelong Learning"
The official repository for ICLR'23 Paper "Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning"
Official PyTorch implementation for Biologically inspired heterogeneous learning for accurate, efficient and low-latency neural network.
Dual Cognitive Architecture: Incorporating Biases and Multi-Memory Systems for Lifelong Learning
The official repository for TMLR paper "A Study of Biologically Plausible Neural Network: The Role and Interactions of Brain-Inspired Mechanisms in Continual Learning""
🧠 AI Second Brain — 100% Local Knowledge Management Private, self-hosted second brain. Store, search, and synthesize documents, images, and ideas with local LLMs (LLaVA, CLIP) and PostgreSQL + pgvector. Features multimodal search, knowledge graphs, gDrive streaming, and real-time analysis — all offline, no API keys, no cloud, no limits.
Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal
ML for finance and forecasting (LSTM, RL and BIMT)
Official repository for NeurIPS'23 paper "TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and Promotion"
A Python Library for Continuous Attractor Neural Networks
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