Pinned Repositories
abcp4.github.io
classificador-gramatical-api
docker-deterioracao
❤️ Previsão Deterioração - é uma aplicação que utliza aprendizado de máquina para predizer a partir de dados de exames se um paciente vai melhorar ou ir a óbito.
domino-gym
Gym Dominoes Environment in Python
Dominoes-IA-RL
A Dominoes IA by means of Reinforcement Learning
pytorch-ssd
MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.
SFPNovelty
academicai-website
buscador-academico
Buscador semântico de conteúdo acadêmico brasileiro.
MangaFaceLabelling
abcp4's Repositories
abcp4/classificador-gramatical-api
abcp4/docker-deterioracao
❤️ Previsão Deterioração - é uma aplicação que utliza aprendizado de máquina para predizer a partir de dados de exames se um paciente vai melhorar ou ir a óbito.
abcp4/classificador_sintatico
abcp4/SFPNovelty
abcp4/AirbnbReviews
abcp4/api-previsao-alta
abcp4/autokeras
abcp4/classificador-gramatical-web
abcp4/DAPytorch
abcp4/DeepAugmentColab
abcp4/DETM
abcp4/dlp
abcp4/docker-deterioracao-
abcp4/gramatica
abcp4/label-studio-ml-backend
Configs and boilerplates for Label Studio's Machine Learning backend
abcp4/labelling
abcp4/livro_nlp
abcp4/MetaRec
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)
abcp4/MyDarts
abcp4/OCTIS
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
abcp4/rii-ARM64
Fast and memory-efficient ANN with a subset-search functionality
abcp4/routing-transformer
Fully featured implementation of Routing Transformer
abcp4/sepse_app
abcp4/sms-predict
abcp4/sru
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
abcp4/test
abcp4/testtt
abcp4/Top2Vec
Top2Vec learns jointly embedded topic, document and word vectors.
abcp4/UCPhrase-exp
This project provides an unsupervised framework for mining and tagging quality phrases on text corpora with pretrained language models (KDD'21).
abcp4/VQ-VAE_Topic
An implementation of the paper [Vector-Quantization-Based Topic Modeling](https://dl.acm.org/doi/10.1145/3450946), providing a series of VQ-VAE models for topic modelling. The model reaches state-of-the-art performance on Ng20 and enables the extraction of dense topic vectors for downstream tasks.