🎓 Automatically Update Some Fields Papers Daily using Github Actions (Update Every 12th hours)
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Updated
Jul 2, 2024 - Python
🎓 Automatically Update Some Fields Papers Daily using Github Actions (Update Every 12th hours)
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
NAACL '24 (Demo) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
定时获取谷歌学术和arxiv论文的相关更新 (代码只有一个py文件,较简单有注释)
PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"
Metalearning for Hyperparameter Optimization
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
The official source code of the paper "Unsupervised Episode Generation for Graph Meta-learning" (ICML 2024)
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
Automated Machine Learning with scikit-learn
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.
[Paper][ACM MM 2023] MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid
A resource list for causality in statistics, data science and physics
Python Meta-Feature Extractor package.
Datasets collection and preprocessings framework for NLP extreme multitask learning
A new comprehensive and diverse few-shot acoustic classification benchmark.
Sharing some research i have worked on and am working on
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
FSL-Mate: A collection of resources for few-shot learning (FSL).
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