#Continual-learning
Showing 33 of 33 repositories tagged #continual-learning, ranked by stars
Memory library for building stateful agents
🦞 Just talk to your agent — it learns and EVOLVES 🧬.
Let Skills Evolve Collectively with Agentic Evolver
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。
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
NMA deep learning course
🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox
Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
[CSUR 2025] Continual Learning of Large Language Models: A Comprehensive Survey
Evaluate three types of task shifting with popular continual learning algorithms.
Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.
A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and survey (Neurocomputing).
Continual Learning tutorials and demo running on Google Colaboratory.
A pytorch implementation of the paper "TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree".
Library for automatic retraining and continual learning
Shared memory for your team's coding agents
(NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"
Code repo for "LifelongAgentBench: Evaluating LLM Agents as Lifelong Learners"
A library for benchmarking the Long Term Memory and Continual learning capabilities of LLM based agents. With all the tests and code you need to evaluate your own agents. See more in the blogpost:
[CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.
[ICLR 2025] Released code for paper "Spurious Forgetting in Continual Learning of Language Models"
The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.
Code repository for the work "Multi-Domain Incremental Learning for Semantic Segmentation", accepted at WACV 2022
CVPR 2020 Continual Learning Challenge - Submit your CL algorithm today!
The code repository for the CURLoRA research paper. Stable LLM continual fine-tuning and catastrophic forgetting mitigation.
[ACL 2025] How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training
#WORK IN PROGRESS PyTorch Implementation of Supervised and Deep Q-Learning EWC(Elastic Weight Consolidation), introduced in "Overcoming Catastrophic Forgetting in Neural Networks"
Prism: A Plug-in Reproducible Infrastructure for Scalable Multimodal Continual Instruction Tuning
A CLI-first autonomous coding agent where the actor never grades itself. Every edit is grounded in your repo's real topology and verified by an independent deterministic grader (drift, lint, verify-task, intent) before it ships. Closed-loop: comprehend → plan → execute → critique → replan. Also a passive MCP harness.
This repository contains code and data of the paper **On the Limitations of Continual Learning for Malware Classification**, accepted to be published at the First Conference on Lifelong Learning Agents (CoLLAs).