zhouxinhit

zhouxinhit's Stars

• CompVis/stable-diffusion

  A latent text-to-image diffusion model

  Language:Jupyter Notebook67.7k55871010.1k

• scutan90/DeepLearning-500-questions

  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

  Language:JavaScript54.3k2.2k18915.8k

• dair-ai/Prompt-Engineering-Guide

  🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

  Language:MDX48k5341824.7k

• hankcs/HanLP

  中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

  Language:Python33.6k1.1k1.4k10k

• reflex-dev/reflex

  🕸️ Web apps in pure Python 🐍

  Language:Python19.5k1561.6k1.1k

• bharathgs/Awesome-pytorch-list

  A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

  15.3k566162.8k

• tgbot-collection/YYeTsBot

  🎬 人人影视 机器人和网站，包含人人影视全部资源以及众多网友的网盘分享

  Language:Python14.2k179851.7k

• google/sentencepiece

  Unsupervised text tokenizer for Neural Network-based text generation.

  Language:C++10.1k1277451.2k

• zhm-real/PathPlanning

  Common used path planning algorithms with animations.

  Language:Python7.9k100421.6k

• Morizeyao/GPT2-Chinese

  Chinese version of GPT2 training code, using BERT tokenizer.

  Language:Python7.4k1602511.7k

• PKU-YuanGroup/ChatLaw

  ChatLaw：A Powerful LLM Tailored for Chinese Legal. 中文法律大模型

  6.8k3874540

• DA-southampton/NLP_ability

  总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

  Language:Python6.8k10551.2k

• microsoft/nlp-recipes

  Natural Language Processing Best Practices & Examples

  Language:Python6.4k187211917

• elyase/awesome-gpt3

  4.6k16319357

• FlagAI-Open/FlagAI

  FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model.

  Language:Python3.8k43210415

• princeton-nlp/SimCSE

  [EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821

  Language:Python3.4k27268511

• rinongal/textual_inversion

  Language:Jupyter Notebook2.9k54157277

• Charmve/computer-vision-in-action

  A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页

  Language:Jupyter Notebook2.5k3675381

• aboSamoor/polyglot

  Multilingual text (NLP) processing toolkit

  Language:Python2.3k77225337

• alibaba/AliceMind

  ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

  Language:Python2k5082292

• chakki-works/seqeval

  A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

  Language:Python1.1k966129

• Py-Contributors/AlgorithmsAndDataStructure

  Algorithms And DataStructure Implemented In Python, Java & CPP, Give a Star 🌟If it helps you

  Language:C++94213389642

• Py-Contributors/awesomeScripts

  A Collection of Awesome Scripts in Python to Ease Daily-Life. Create an issue If you have some great ideas for the new script. Leave a :star:

  Language:Python58014236274

• contr4l/SimilarCharacter

  对常用的6700个汉字进行音、形比较，输出音近字、形近字的列表。 # 相近字

  Language:Python43087133

• luyug/GradCache

  Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint

  Language:Python34592919

• leerumor/contrastive_learning_codes

  A list of Contrastive Learning Papers&Codes. Unsupervised: MoCo/SimCLR/SwAV/BYOL/SimSiam

  2395017

• Alibaba-NLP/HiAGM

  Hierarchy-Aware Global Model for Hierarchical Text Classification

  Language:Python20881644

• seukgcode/MELBench

  Multimodal entity linking (MEL) aims to utilize multimodal information to map mentions to corresponding entities defined in knowledge bases. We release three MEL datasets: Weibo-MEL, Wikidata-MEL and Richpedia-MEL, containing 25,602, 18,880 and 17,806 samples from social media, encyclopedia and multimodal knowledge graphs respectively. A MEL dataset construction approach is proposed, including five stages: multimodal information extraction, mention extraction, entity extraction, triple construction and dataset construction. Experiment results demonstrate the usability of the datasets and the distinguishability between baseline models.

  76464

• cgnorthcutt/cleanlab

  Official cleanlab repo is at https://github.com/cleanlab/cleanlab

  57208

• SALT-NLP/positive-frames

  Data and code for the paper "Inducing Positive Perspectives with Text Reframing"

  Language:Python52339