pedrolisboa

pedrolisboa's Stars

• gatecat/nextpnr-xilinx

  Experimental flows using nextpnr for Xilinx devices

  Language:C++21443

• andfanilo/streamlit-drawable-canvas

  Do you like Quick, Draw? Well what if you could train/predict doodles drawn inside Streamlit? Also draws lines, circles and boxes over background images for annotation.

  Language:TypeScript58491

• hirune924/Streamlit-Image-Annotation

  Streamlit component for image annotation.

  Language:TypeScript8011

• scikit-hep/mplhep

  Extended histogram plotting on top of matplotlib and HEP collaboration compatible styling

  Language:Python18865

• viniciusdsmello/SonarAnalyzer

  Sonar Analyzer is an app created with streamlit in order to analyze Passive Sonar Signals

  Language:Python43

• HHousen/TransformerSum

  Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.

  Language:Python42758

• ploomber/ploomber

  The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

  Language:Python3.5k236

• nteract/papermill

  📚 Parameterize, execute, and analyze notebooks

  Language:Python6k429

• PRBonn/bonnetal

  Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn

  Language:Python23360

• Alex-Fabbri/Multi-News

  Large-scale multi-document summarization dataset and code

  Language:Python27453

• leoxiaobin/deep-high-resolution-net.pytorch

  The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

  Language:Cuda4.3k913

• OpenMined/PySyft

  Perform data science on data that remains in someone else's server

  Language:Python9.5k2k

• tmuxinator/tmuxinator

  Manage complex tmux sessions easily

  Language:Ruby12.7k630

• CMU-Perceptual-Computing-Lab/openpose

  OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

  Language:C++31.2k7.9k

• neilpanchal/spinzero-jupyter-theme

  A minimal Jupyter Notebook theme

  Language:Jupyter Notebook26331

• guyfe/LongSumm

  LongSumm - Scientific Document Summarization Task

  Language:Python7411

• erickrf/nlpnet

  A neural network architecture for NLP tasks, using cython for fast performance. Currently, it can perform POS tagging, SRL and dependency parsing.

  Language:Python407104

• ddangelov/Top2Vec

  Top2Vec learns jointly embedded topic, document and word vectors.

  Language:Python2.9k374

• fastai/fastcore

  Python supercharged for the fastai library

  Language:Jupyter Notebook973277

• datastacktv/data-engineer-roadmap

  Roadmap to becoming a data engineer in 2021

  12.4k1.3k

• amueller/word_cloud

  A little word cloud generator in Python

  Language:Python10.2k2.3k

• EntilZha/PyFunctional

  Python library for creating data pipelines with chain functional programming

  Language:Python2.4k132

• jupyter/nbdime

  Tools for diffing and merging of Jupyter notebooks.

  Language:TypeScript2.7k160

• neoclide/coc.nvim

  Nodejs extension host for vim & neovim, load extensions like VSCode and host language servers.

  Language:TypeScript24.5k954

• py-why/EconML

  ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

  Language:Jupyter Notebook3.8k716

• emacs-tw/awesome-emacs

  A community driven list of useful Emacs packages, libraries and other items.

  8.6k559

• gabriel-milan/maestro

  Command line interface for the LPS Cluster @ UFRJ

  Language:Python5

• ianyepan/wilmersdorf-emacs-theme

  An original theme with dark subtle syntax highlighting

  Language:Emacs Lisp852

• mkropat/jumpapp

  A run-or-raise application switcher for any X11 desktop

  Language:Shell64245

• great-expectations/great_expectations

  Always know what to expect from your data.

  Language:Python10k1.5k