xkandj

xkandj's Stars

• JosiahMg/pyswan

  Language:Python2

• fedora-python/marshalparser

  Simple parser for Python marshal serialization and pyc files

  Language:Python185

• shliang0603/Awesome-DeepLearning-500FAQ

  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。声明：所有内容来自（仅供学习）：https://github.com/scutan90/DeepLearning-500-questions

  Language:HTML609111

• xkandj/bot

  2

• thunlp/NLP-THU

  NLP Course Material & QA

  17123

• 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:JavaScript55.6k15.9k

• datawhalechina/competition-baseline

  数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路

  Language:Jupyter Notebook4.4k1.1k

• 521xueweihan/git-tips

  :trollface:Git的奇技淫巧

  15.7k3.3k

• chinese-poetry/chinese-poetry

  The most comprehensive database of Chinese poetry 🧶最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。

  Language:JavaScript48.8k9.8k

• fengdu78/lihang-code

  《统计学习方法》的代码实现

  Language:Jupyter Notebook19.2k6.3k

• hijiangtao/resume

  个人中文简历 Latex 源码 https://hijiangtao.github.io/

  Language:TeX2.1k579

• DiHiera/Algorithm_Interview_Notes-Chinese-master

  2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

  Language:Python16362

• graykode/nlp-roadmap

  ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP

  3.2k517

• PaddlePaddle/PaddleNLP

  👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.

  Language:Python12.4k3k

• AmirStudy/Rasa_Deployment

  Deploying Rasa Bot over Google Cloud Platform using Docker.

  616

• JosiahMg/leetcode

  Language:Python1

• Mikoto10032/DeepLearning

  深度学习入门教程, 优秀文章, Deep Learning Tutorial

  Language:Jupyter Notebook15.4k3.7k

• REIYANG/FedBCD

  Federated Block Coordinate Descent (FedBCD) code for "Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models", accepted by AAAI Conference on Artificial Intelligence 2021.

  Language:Jupyter Notebook162

• mpc-msri/EzPC

  Language:C++419126

• botfront/rasa-webchat

  A feature-rich chat widget for Rasa and Botfront

  Language:JavaScript990496

• JosiahMg/chatbots

  Language:HTML1

• CLUEbenchmark/CLUENER2020

  CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

  Language:Python1.5k302

• Miraclelucy/dive_into_deep_learning

  ✔️李沐 【动手学深度学习】课程学习笔记：使用pycharm编程，基于pytorch框架实现。

  Language:Python2.7k480

• kitaharatomoyo/JDDC2020-3rd-SourceCode

  2020智源-京东多模态对话（JDDC2020）第三名解决方案分享

  Language:Python4113

• bentrevett/pytorch-seq2seq

  Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

  Language:Jupyter Notebook5.5k1.4k

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python141k28.3k