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Artificial Intelligence & Machine Learning CLUB: Friends for Code, Paper, and Beers!🍻
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
light reimplement of bert for keras
Re-implementation of BiDAF(Bidirectional Attention Flow for Machine Comprehension, Minjoon Seo et al., ICLR 2017) on PyTorch.
BLEU score for the evaluation of Response Generation
This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)
中文公开聊天语料库
pos tag based on easy crf bilstm
PyTorch python project standard.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Code and dataset of AAAI2019 paper Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification
LLMs interview notes and answers:该仓库主要记录大模型(LLMs)算法工程师相关的面试题和参考答案
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
📖 Collection of naming guides for writing more consistent and readable codes
NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego
We are trying to define a framework for NLP tasks that easily maps any kind of word embedding data set with any kind of text data set. The framework should decrease the amount of additional code needed to work on different NLP tasks. We have found that for many NLP tasks similar preprocessing steps are needed.
TableNet Implementation on Pytorch
PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400
Fully batched seq2seq example based on practical-pytorch, and more extra features.
table structure recognition
Simple tutorials for building neural networks with TensorFlow Eager mode.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
A very simple BiLSTM-CRF model for Chinese Named Entity Recognition 中文命名实体识别 (TensorFlow)
获取知乎内容信息,包括问题,答案,用户,收藏夹信息
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.