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awesome papers in LLM interpretability
A Python library that encapsulates various methods for neuron interpretation and analysis in Deep NLP models.
A collection of classified and organized top conference paper list.
A framework for few-shot evaluation of language models.
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记
An index of algorithms for learning causality with data
A reading list for papers on causality for natural language processing (NLP)
A repository of links with advice related to grad school applications, research, phd etc
A JavaScript library that parses BibTeX parser.
A python tool for evaluating the quality of sentence embeddings.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
A very simple framework for state-of-the-art Natural Language Processing (NLP)
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Anomaly detection related books, papers, videos, and toolboxes
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
Datasets for compositional learning
100+ Chinese Word Vectors 上百种预训练中文词向量
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
A simple decorator to cache the results of function calls
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding a…
COre Variable Feature Extraction Feature Extractor
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)