beatrizfagundes's Stars
microsoft/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
TeamHG-Memex/eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier
AlexYangLi/TextClassification
All kinds of neural text classifiers implemented by Keras
CyberZHG/keras-word-char-embd
Concatenate word and character embeddings in Keras
horovod/horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
datasets-br/unitex-pt-br
The Brazilian Portuguese language, Unitex primary sources for the vocabulary and dictionary definitions
jacobeisenstein/gt-nlp-class
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
ncbi-nlp/bluebert
BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).
sebastianruder/NLP-progress
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.
IDSIA/sacred
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
LR-POR/MorphoBr
Resources for morphological analysis of Portuguese
LIAAD/yake
Single-document unsupervised keyword extraction
chartbeat-labs/textacy
NLP, before and after spaCy
JohnSnowLabs/spark-nlp
State of the Art Natural Language Processing
boudinfl/pke
Python Keyphrase Extraction module
aneesha/RAKE
A python implementation of the Rapid Automatic Keyword Extraction
desktop/desktop
Focus on what matters instead of fighting with Git.
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
turicas/brasil.io
Backend do Brasil.IO (para código dos scripts de coleta de dados, veja o link na página de cada dataset)
amueller/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
amueller/ml-workshop-1-of-4
Introduction to Machine learning with Python, 4h interactive workshop
amueller/ml-workshop-4-of-4
Advanced Machine Learning with Scikit-learn part II
amueller/ml-workshop-2-of-4
Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
amueller/ml-workshop-3-of-4
Advanced Machine Learning with Scikit-learn part I
GaelVaroquaux/stats_in_python_tutorial
Material for the statistics in Python tutorial
ogrisel/notebooks
Some sample IPython notebooks for scikit-learn
ogrisel/parallel_ml_tutorial
Tutorial on scikit-learn and IPython for parallel machine learning
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
allenai/allennlp
An open-source NLP research library, built on PyTorch.