continual-learning

Memory library for building stateful agents

🦞 Just talk to your agent — it learns and EVOLVES 🧬.

Let Skills Evolve Collectively with Agentic Evolver

collection of diffusion model papers categorized by their subareas

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

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.

Awesome AI Memory | LLM Memory | A curated knowledge base on AI memory for LLMs and agents, covering long-term memory, reasoning, retrieval, and memory-native system design. Awesome-AI-Memory 是一个 集中式、持续更新的 AI 记忆知识库，系统性整理了与 大模型记忆（LLM Memory）与智能体记忆（Agent Memory） 相关的前沿研究、工程框架、系统设计、评测基准与真实应用实践。

NMA deep learning course

Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.

[ICLR 2025] The offical implementation of "PSEC: Skill Expansion and Composition in Parameter Space", a new framework designed to facilitate efficient and flexible skill expansion and composition, iteratively evolve the agents' capabilities and efficiently address new challenges

Code repository for the work "Multi-Domain Incremental Learning for Semantic Segmentation", accepted at WACV 2022

Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)

The code repository for the CURLoRA research paper. Stable LLM continual fine-tuning and catastrophic forgetting mitigation.

[EMNLP 2022] Continual Training of Language Models for Few-Shot Learning

PipelineLLM 是一个系统性的大语言模型（LLM）后训练学习项目，涵盖从监督微调（SFT）到偏好优化（DPO）、强化学习（RLHF/PPO/GRPO）再到持续学习（Continual Learning)的完整技术栈。

✌ CLoG: Benchmarking Continual Learning of Image Generation Models

(WACV'24) Kaizen: Practical self-supervised continual learning with continual fine-tuning