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Name: João Carlos Néto
Type: User
Company: USP/POLI-LARC
Bio: PhD at Polytechnic, USP, Brazil, and Visiting Scholar at UCLA. Researching in artificial intelligence.
Location: Sao Paulo/Brazil
Name: João Carlos Néto
Type: User
Company: USP/POLI-LARC
Bio: PhD at Polytechnic, USP, Brazil, and Visiting Scholar at UCLA. Researching in artificial intelligence.
Location: Sao Paulo/Brazil
A guide on extracting entities from raw text in order to conduct social network analysis.
NeuSpell: A Neural Spelling Correction Toolkit
News, full-text, and article metadata extraction in Python 3. Advanced docs:
NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
Natural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
Code for ACL 2019 Paper: "COMET: Commonsense Transformers for Automatic Knowledge Graph Construction" https://arxiv.org/abs/1906.05317
Code for building ConceptNet from raw data.
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.
NLP 领域常见任务的实现,包括新词发现、以及基于pytorch的词向量、中文文本分类、实体识别、摘要文本生成、句子相似度判断、三元组抽取、预训练模型等。
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding
Natural Language Processing Best Practices & Examples
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
Efficient few-shot learning with Sentence Transformers
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
Data augmentation for NLP
Foundational Models for State-of-the-Art Speech and Text Translation
Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay
Extract NLP (RDF )Triples from a sentence
Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio denoising methods by showing that it is possible to train deep speech denoising networks using only noisy speech samples.
This repo is for our paper: Normalization Techniques in Training DNNs: Methodology, Analysis and Application
Jupyter Notebooks with Deep Learning Tutorials
Some notebooks for NLP
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
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.