Popular GitHub Repositories for Consolidation

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

A flexible, adaptive classification system for dynamic text classification

A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).

Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase of "A continual learning survey: Defying forgetting in classification tasks." in IEEE TPAMI.

Elastic weight consolidation technique for incremental learning.

Implementation of the model: "(MC-ViT)" from the paper: "Memory Consolidation Enables Long-Context Video Understanding"

HighNoon LLM uses Hierarchical Spatial Neural Memory (HSMN) to process language like humans, organizing text into a tree for efficiency. It cuts computing needs by 78x, excelling in summarization, coding, and Q&A, while running locally for privacy.

The official implementation of Memory-efficient DQN algorithm.

A spaCy library for Named Entity Recognition with Elastic Weight Consolidation.

adaptive memory layer for agentic AI

DocuMerge for LLMs：轻松准备GitHub仓库，以便进行大型语言模型分析！

Academic literature repository for papers, books, and journal articles with research consolidation tools