🕵 Artificial Intelligence for social control of public administration

Overview

Build Status Code Climate Test Coverage Donate

Operação Serenata de Amor

  1. Non-tech crash course into Operação Serenata de Amor
  2. Tech crash course into Operação Serenata de Amor
  3. Contributing with code and tech skills
  4. Supporting
  5. Acknowledgments

Non-tech crash course into Operação Serenata de Amor

What

Serenata de Amor is an open project using artificial intelligence for social control of public administration.

Who

We are a group of people who believes in power to the people motto. We are also part of the Data Science for Civic Innovation Programme from Open Knowledge Brasil.

Among founders and long-term members, we can list a group of eight people – plus numerous contributors from the open source and open knowledge communities: Tatiana Balachova, Felipe Cabral, Eduardo Cuducos, Irio Musskopf, Bruno Pazzim, Ana Schwendler, Jessica Temporal, Yasodara Córdova and Pedro Vilanova.

How

Similar to organizations like Google, Facebook, and Netflix, we use technology to track government spendings and make open data accessible for everyone. We started looking into data from the Chamber of Deputies (Brazilian lower house) but we expanded to the Federal Senate (Brazilian upper house) and to municipalities.

When

Irio had the main ideas for the project in early 2016. For a few months, he experimented and gathered people around the project. September, 2016 marks the launching of our first crowd funding. Since then, we have been creating open source technological products and tools, as well as high quality content on civic tech on our Facebook and Medium.

Where

We have no non-virtual headquarters, but we work remotely everyday. Most of our ideas are crafted to work in any country that offers open data, but our main implementations focus in Brazil.

Why

Empowering citizens with data is important: people talk about smart cities, surveillance and privacy. We prefer to focus on smart citizens, accountability and open knowledge.

Tech crash course into Operação Serenata de Amor

What

Serenata de Amor develops open source tools to make it easy for people to use open data. The focus is to gather relevant insights and share them in an accessible interface. Through this interface, we invite citizens to dialogue with politicians, state and government about public spendings.

Who

Serenata's main role is played by Rosie: she is an artificial intelligence who analyzes Brazilian congresspeople expenses while they are in office. Rosie can find suspicious spendings and engage citizens in the discussion about these findings. She's on Twitter.

To allow people to visualize and make sense of data Rosie generates, we have created Jarbas. On this website, users can browse congresspeople expenses and get details about each of the suspicions. It is the starting point to validate a suspicion.

How

We have two main repositories on GitHub. This is the main repo and hosts Rosie and Jarbas. In addition, we have the toolbox - a pip installable package. Yet there are experimental notebooks maintained by the community and our static webpage.

When

Despite all these players acting together, the core part of the job is ran manually from time to time. The only part that is always online is Jarbas – freely serving a wide range of information about public expenditure 24/7.

Roughly once a month, we manually run Rosie and update Jarbas. A few times per year, we upload versioned datasets accessible via the toolbox – but we encourage you to use the toolbox to generate fresh datasets whenever you need.

Where

Jarbas is running in Digital Ocean droplets, and deployed using the Docker Cloud architecture.

Why

The answer to most technical why questions is because that is what we had in the past and enabled us to deliver fast. We acknowledge that this is not the best stack ever, but it has brought us here.

Contributing with code and tech skills

Make sure you have read the Tech crash course on this page. Next, check out our contributing guide.

Supporting

Acknowledgments

Open Knowledge Brasil Digital Ocean

Owner
Open Knowledge Brasil - Rede pelo Conhecimento Livre
Open Knowledge Brasil - Rede pelo Conhecimento Livre
Minimalistic PyTorch training loop

Backbone for PyTorch training loop Will try to keep it minimalistic. pip install back from back import Bone Features Progress bar Checkpoints saving/l

Kashin 4 Jan 16, 2020
A PyTorch implementation of PointRend: Image Segmentation as Rendering

PointRend A PyTorch implementation of PointRend: Image Segmentation as Rendering [arxiv] [Official Implementation: Detectron2] This repo for Only Sema

AhnDW 336 Dec 26, 2022
3D-printable hand-strapped keyboard

Note: This repo has not been cleaned up and prepared for general consumption at all. This is just a dump of the project files. If there is any interes

Wojciech Baranowski 41 Dec 31, 2022
This repository contains the code for EMNLP-2021 paper "Word-Level Coreference Resolution"

Word-Level Coreference Resolution This is a repository with the code to reproduce the experiments described in the paper of the same name, which was a

79 Dec 27, 2022
DeepProbLog is an extension of ProbLog that integrates Probabilistic Logic Programming with deep learning by introducing the neural predicate.

DeepProbLog DeepProbLog is an extension of ProbLog that integrates Probabilistic Logic Programming with deep learning by introducing the neural predic

KU Leuven Machine Learning Research Group 94 Dec 18, 2022
BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training

BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training By Likun Cai, Zhi Zhang, Yi Zhu, Li Zhang, Mu Li, Xiangyang Xue. This

290 Dec 29, 2022
Aggragrating Nested Transformer Official Jax Implementation

NesT is a simple method, which aggragrates nested local transformers on image blocks. The idea makes vision transformers attain better accuracy, data efficiency, and convergence on the ImageNet bench

Google Research 169 Dec 20, 2022
Intrinsic Image Harmonization

Intrinsic Image Harmonization [Paper] Zonghui Guo, Haiyong Zheng, Yufeng Jiang, Zhaorui Gu, Bing Zheng Here we provide PyTorch implementation and the

VISION @ OUC 44 Dec 21, 2022
Hso-groupie - A pwnable challenge in Real World CTF 4th

Hso-groupie - A pwnable challenge in Real World CTF 4th

Riatre Foo 42 Dec 05, 2022
Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting (ICCV, 2021)

DKPNet ICCV 2021 Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting Baseline of DKPNet is availa

19 Oct 14, 2022
FFTNet vocoder implementation

Unofficial Implementation of FFTNet vocode paper. implement the model. implement tests. overfit on a single batch (sanity check). linearize weights fo

Eren Gölge 81 Dec 08, 2022
Official implementation of the Neurips 2021 paper Searching Parameterized AP Loss for Object Detection.

Parameterized AP Loss By Chenxin Tao, Zizhang Li, Xizhou Zhu, Gao Huang, Yong Liu, Jifeng Dai This is the official implementation of the Neurips 2021

46 Jul 06, 2022
The repository is for safe reinforcement learning baselines.

Safe-Reinforcement-Learning-Baseline The repository is for Safe Reinforcement Learning (RL) research, in which we investigate various safe RL baseline

172 Dec 19, 2022
The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at .

PixelNet: Representation of the pixels, by the pixels, and for the pixels. We explore design principles for general pixel-level prediction problems, f

Aayush Bansal 196 Aug 10, 2022
This repository is an official implementation of the paper MOTR: End-to-End Multiple-Object Tracking with TRansformer.

MOTR: End-to-End Multiple-Object Tracking with TRansformer This repository is an official implementation of the paper MOTR: End-to-End Multiple-Object

348 Jan 07, 2023
Dynamic Token Normalization Improves Vision Transformers

Dynamic Token Normalization Improves Vision Transformers This is the PyTorch implementation of the paper Dynamic Token Normalization Improves Vision T

Wenqi Shao 20 Oct 09, 2022
Code to replicate the key results from Exploring the Limits of Out-of-Distribution Detection

Exploring the Limits of Out-of-Distribution Detection In this repository we're collecting replications for the key experiments in the Exploring the Li

Stanislav Fort 35 Jan 03, 2023
ReferFormer - Official Implementation of ReferFormer

The official implementation of the paper: Language as Queries for Referring Vide

Jonas Wu 232 Dec 29, 2022
An alarm clock coded in Python 3 with Tkinter

Tkinter-Alarm-Clock An alarm clock coded in Python 3 with Tkinter. Run python3 Tkinter Alarm Clock.py in a terminal if you have Python 3. NOTE: This p

CodeMaster7000 1 Dec 25, 2021