🎓 Automatically Update Some Fields Papers Daily using Github Actions (Update Every 12th hours)
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Updated
Jun 6, 2024 - Python
🎓 Automatically Update Some Fields Papers Daily using Github Actions (Update Every 12th hours)
Datasets collection and preprocessings framework for NLP extreme multitask learning
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)
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
A framework for composing Neural Processes in Python
Artificial Intelligence > Machine Learning > Deep Learning
NAACL '24 (Demo) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
Optim4RL is a Jax framework of learning to optimize for reinforcement learning.
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning (ICLR 2023)
An index of algorithms for few-shot learning/meta-learning on graphs
Manipulating Python Programs
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!
The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
This is a meta-model distilled from LLMs for information extraction. This is an intermediate checkpoint that can be well-transferred to all kinds of downstream information extraction tasks.
A dataset of datasets for learning to learn from few examples
A new comprehensive and diverse few-shot acoustic classification benchmark.
Reproducible material for Meta-Processing: A robust framework for multi-tasks seismic processing
The official source code of the paper "Unsupervised Episode Generation for Graph Meta-learning" (to be presented in ICML 2024)
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