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iCraft Editor - Help you easily create excellent 3D architecture diagrams
A series of large language models developed by Baichuan Intelligent Technology
A natural language interface for computers
Methods and Implements of Deep Clustering
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Implementation for "AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification"
One-Studio / CSGO-Toolbox
Forked from Purple-CSGO/CSGO-ToolboxCSGO工具箱:一个为CSGO游戏的各个方面带来便利的工具集合
MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips
为键盘工作者设计的单词记忆与英语肌肉记忆锻炼软件 / Words learning and English muscle memory training software designed for keyboard workers
MATCH: Metadata-Aware Text Classification in A Large Hierarchy (WWW'21)
An implementaion of a Multi-Label Classification algorithm on Tree- and DAG-Structured Hierarchies
😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切:论文、代码、框架与库
[ ECCV 2020 Spotlight ] Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets"
综合了同义词词林扩展版与知网(Hownet)的词语相似度计算方法,词汇覆盖更多、结果更准确。
Code for the paper "Fine-Grained Entity Typing in Hyperbolic Space"
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112
PyTorch implementation of NetVLAD & Online Hardest Triplet Loss.
code for ACL 2020 paper: FLAT: Chinese NER Using Flat-Lattice Transformer
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI …
PyTorch implementation of Attention-over-Attention Neural Networks for Reading Comprehension
About Question Difficulty Prediction Based on Neural Network.
About Time Series Prediction Based on Neural Network.