curriculum-learning 开源项目推荐（264 个）

ZJU-REAL /SkillZero

[EMNLP 2026] Official code for "SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization"

Phylliade /awesome-machine-learning-robotics

A curated list of resources about Machine Learning for Robotics

Cryolite /kanachan

A Japanese (Riichi) Mahjong AI Framework

zhengli97 /CTKD

[AAAI 2023] Official PyTorch Code for "Curriculum Temperature for Knowledge Distillation"

shiyao-li /NextBestPath

[ICLR 2025] NextBestPath：未见环境的高效 3D 建图

EESJGong /Graph-CAD

学习文本到CAD的层级和几何感知图表示

Evgeneus /Graph-Domain-Adaptaion

PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)

YangRui2015 /Sparse-Reward-Algorithms

Implement many Sparse Reward algorithms in Gym Fetch environment

harsh306 /awesome-nn-optimization

Awesome list for Neural Network Optimization methods.

mit-wu-lab /IntersectionZoo

IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning

marcoshsq /Data_Science_Roadmap

A curated list of free courses from reputable universities that meet the requirements of an undergraduate curriculum in Data Science, excluding general education. With projects, supporting materials in an organized structure.

nick7nlp /FastCuRL

FastCuRL: Curriculum Reinforcement Learning with Stage-wise Context Scaling for Efficient LLM Reasoning (EMNLP 2025)

linzehui /Curriculum-Learning-PaperList-Materials

Curriculum Learning related papers and materials

bigai-nlco /RuleReasoner

[ICLR 2026] RuleReasoner: Reinforced Rule-based Reasoning via Domain-aware Dynamic Sampling

peace195 /curriculum-learning-for-deep-learning

Curriculum Learning - Tensorflow

ipc-lab /deepjscc-noma

Implementation of "Distributed Deep Joint Source-Channel Coding over a Multiple Access Channel" paper (ICC 2023)

zzyunzhi /vds

Code for Automatic Curriculum Learning through Value Disagreement

nazmul-karim170 /C-SFDA

[CVPR 2023] Official Implementation of "C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation""

VITA-Group /L2O-Training-Techniques

[NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang

labicon /CurricuLLM

Official code repository for CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models