Seidi Yonamine (seidikun)

seidikun

Geek Repo

Company:AASDAP

Location:São Paulo

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Seidi Yonamine's starred repositories

awesome-bci

Curated Collection of BCI resources

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PoliticasPublicas

Repositório público com os dados e gráficos dos materiais publicados pelo Nexo Políticas Públicas.

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nlp-recipes

Natural Language Processing Best Practices & Examples

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deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

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tea-lang

DSL for experimental design and statistical analysis

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gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

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The-Python-Graph-Gallery

A website displaying hundreds of charts made with Python

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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.

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state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

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sotawhat

Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.

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datascience_course

Curso de Data Science em Português

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aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

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A-to-Z-Resources-for-Students

✅ Curated list of resources for college students

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Top-Deep-Learning

Top 200 deep learning Github repositories sorted by the number of stars.

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neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

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data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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Learn_Deep_Learning_in_6_Weeks

This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube

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Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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cheat.sh

the only cheat sheet you need

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usp-war-bot

Um "jogo" que simula uma guerra não determinística entre as unidades da Cidade Universitária da USP em função de dados demográficos. Utilizado como base para a página USP War Bot, no Facebook.

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stanza

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

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2018_materials

Materials for Neurohackademy 2018 lectures, tutorials, etc.

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PythonBootcamp

Materials for a 'Python for Science' bootcamp workshop.

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mat2vec

Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).

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EEG-ICA-pipeline

ICA preprocessing & source localization for EEG. Please read wiki for detailed info:

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document_cluster

A guide to document clustering in Python

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corpuscrawler

Crawler for linguistic corpora

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