Name: João Carlos Néto
Type: User
Company: USP/POLI-LARC
Bio: PhD at Polytechnic, USP, Brazil, and Visiting Scholar at UCLA. Researching in homomorphic encryption, artificial intelligence, and quantum algorithm.
Location: Sao Paulo/Brazil
Blog: http://www.larc.usp.br/en/profile/joao-carlos-neto
João Carlos Néto's Projects
Fuzzy string matching, grouping, and evaluation.
Portuguese Word Embeddings: Evaluating on Word Analogies and Natural Language Tasks
pt-BR Corpus with the Wikipedia dump
PT Lexical Semantics
Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies
Python implementation of the Short Term Objective Intelligibility measure
If you want to use Python for text analysis, this course is for you!
PESQ (Perceptual Evaluation of Speech Quality) Wrapper for Python Users (narrow band and wide band)
Stanford Open Information Extraction made simple!
PyTorch implementations of Generative Adversarial Networks.
📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
Holds the code for a minimal GAN implementation
natural language processor powered by plugins part of the @unifiedjs collective
Web-Scale Open Information Extraction
A visualization tool for understanding and debugging RNNs
rudibugger is the GUI of VOnDA (Versatile Ontology-based Dialogue Architecture), a framework to implement the dialogue management functionality in dialogue systems.
Beautiful visualizations of how language differs among document types.
Sentence Boundary Detection and Speaker Change Detection
A wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.
Named Entity Recognition (LSTM + CRF) - Tensorflow
A unified approach to explain the output of any machine learning model.
Interpretable data visualizations for understanding how texts differ at the word level
Silero Models: pre-trained speech-to-text, text-to-speech models and benchmarks made embarrassingly simple
Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
SippyCup is a simple semantic parser, written in Python, created purely for didactic purposes.
spaCy + UDPipe
A neural network for end-to-end speech denoising
mixlingual speech recognition system; hybrid (GMM+NNet) model; Kaldi + Keras