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Master programming by recreating your favorite technologies from scratch.
A generative world for general-purpose robotics & embodied AI learning.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
tqchen / xgboost
Forked from dmlc/xgboosthttps://github.com/dmlc/xgboost
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
Findings of EMNLP 2023: InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective
Tutorial code on how to build your own Deep Learning System in 2k Lines
This is the implementation of our CPL model with paper: Making Pre-trained Language Models Better Continual Few-Shot Relation Extractors
PyCIL: A Python Toolbox for Class-Incremental Learning
LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities
Flax is a neural network library for JAX that is designed for flexibility.
Guideline following Large Language Model for Information Extraction
The autoregressive information extraction system GenIE (Generative Information Extraction) implemented in PyTorch.
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
[NAACL 2021] A Frustratingly Easy Approach for Entity and Relation Extraction https://arxiv.org/abs/2010.12812
REBEL is a seq2seq model that simplifies Relation Extraction (EMNLP 2021).
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"