A curated list of reinforcement learning with human feedback resources (continually updated)

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

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.

Memory library for building stateful agents

(CVPR 2021 Oral) Open World Object Detection

PyCIL: A Python Toolbox for Class-Incremental Learning

Awesome Machine Unlearning (A Survey of Machine Unlearning)

NMA deep learning course

An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

Relevant papers in Continual Learning

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing Surveys, 2026.

Continual Learning papers list, curated by ContinualAI

Perpetual is a high-performance gradient boosting machine. It delivers optimal accuracy in a single run without complex tuning through a simple budget parameter. It features out-of-the-box support for causal ML, continual learning, native calibration, and robust drift monitoring, along with Rust core and zero-copy bindings for Python and R

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。

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

An Incremental Learning, Continual Learning, and Life-Long Learning Repository

A curated list of Multi-Modal Reinforcement Learning resources (continually updated)

🎉 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.

Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22

PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)

A clean and simple data loading library for Continual Learning

The official repository of "Position: Agentic Evolution is the Path to Evolving LLMs".

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).

A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).