Kaggle: RSNA Pneumonia Detection Challenge

27 августа 2018 — 25 октября 2018
Осталось 2 дня, 19 часов
In this competition, you’re challenged to build an algorithm to detect a visual signal for pneumonia in medical images. Specifically, your algorithm needs to automatically locate lung opacities on chest radiographs.

crowdAI: NIPS 2018 AI for Prosthetics Challenge

16 июня 2018 — 30 октября 2018
Осталось 1 неделя
In this competition, you are tasked with developing a controller to enable a physiologically-based human model with a prosthetic leg to walk and run. You are provided with a human musculoskeletal model, a physics-based simulation environment where you can synthesize physically and physiologically accurate motion, and datasets of normal gait kinematics. You are scored based on how well your agent adapts to requested velocity vector changing in real time.

crowdAI: League of Nations Archives Digitization Challenge

10 августа 2018 — 31 октября 2018
Осталось 1 неделя, 1 день
The challenge is to identify the language in each of the documents accurately using any model for prediction.

crowdAI: Train Schedule Optimisation Challenge

10 августа 2018 — 31 октября 2018
Осталось 1 неделя, 1 день
Our goal with this challenge is to solicit ingenious ways to tackle the timetable generation/optimization problem. Do you see a suitable algorithm? A promising AI-approach? A powerful heuristic? We can’t wait to see it in action! We provide you with a set of sample problem instances consisting of a list of trains to be scheduled, their commercial requirements to be respected and a set of routes they can take through the network. Your challenge is to come up with a timetable for these problem instances.

crowdAI: NIPS 2018: AI for Prosthetics Challenge

1 октября 2018 — 31 октября 2018
Осталось 1 неделя, 1 день
Welcome to AI for Prosthetics challenge, one of the official challenges in the NIPS 2018 Competition Track. In this competition, you are tasked with developing a controller to enable a physiologically-based human model with a prosthetic leg to walk and run. You are provided with a human musculoskeletal model, a physics-based simulation environment OpenSim where you can synthesize physically and physiologically accurate motion, and datasets of normal gait kinematics. You are scored based on how well your agent adapts to the requested velocity vector changing in real time.

crowdAI: NIPS 2018 Adversarial Vision Challenge (Robust Model Track)

25 июня 2018 — 1 ноября 2018
Осталось 1 неделя, 2 дня
The overall goal of this challenge is to facilitate measurable progress towards robust machine vision models and more generally applicable adversarial attacks. As of right now, modern machine vision algorithms are extremely susceptible to small and almost imperceptible perturbations of their inputs (so-called adversarial examples). This property reveals an astonishing difference in the information processing of humans and machines and raises security concerns for many deployed machine vision systems like autonomous cars. Improving the robustness of vision algorithms is thus important to close the gap between human and machine perception and to enable safety-critical applications.

crowdAI: NIPS 2018 Adversarial Vision Challenge (Untargeted Attack Track)

25 июня 2018 — 1 ноября 2018
Осталось 1 неделя, 2 дня
The overall goal of this challenge is to facilitate measurable progress towards robust machine vision models and more generally applicable adversarial attacks. As of right now, modern machine vision algorithms are extremely susceptible to small and almost imperceptible perturbations of their inputs (so-called adversarial examples). This property reveals an astonishing difference in the information processing of humans and machines and raises security concerns for many deployed machine vision systems like autonomous cars. Improving the robustness of vision algorithms is thus important to close the gap between human and machine perception and to enable safety-critical applications.

Topcoder: NASA International Space Station RFID Localization Challenge

28 сентября 2018 — 2 ноября 2018
Осталось 1 неделя, 3 дня
Your task will be to detect the location of RFID tagged items within the ISS as accurately as possible. The location your algorithm returns will be compared to ground truth data, and the quality of your solution will be judged by how much your solution correlates with the expected results. See Scoring for details.

Sberbank Data Science Journey 2018: AutoML

19 сентября 2018 — 3 ноября 2018
Осталось 1 неделя, 4 дня
Хотите раз и навсегда решить классические соревнования машинного обучения? Участникам впервые предстоит построить систему AutoML (автоматического машинного обучения) на первом в своем роде датасете датасетов банковских задач: транзакции, временные ряды и классические табличные данные.

Kaggle: Inclusive Images Challenge

5 сентября 2018 — 6 ноября 2018
Осталось 2 недели
Google AI is challenging Kagglers to develop models that are robust to blind spots that might exist in a data set, and to create image recognition systems that can perform well on test images drawn from different geographic distributions than the ones they were trained on.

Datasouls: ЦФТ Contest

29 сентября 2018 — 11 ноября 2018
Осталось 2 недели, 5 дней
Сталкивались с дурацкими опечатками? В этом необычном соревновании с уникальным датасето мы приглашаем участников разрабаотать алгоритмы, определяющие корректность введённых ФИО и предлагающих, как можно исправить найденные опечатки.

Kaggle: Airbus Ship Detection Challenge

30 июля 2018 — 15 ноября 2018
Осталось 3 недели, 2 дня
Airbus offers comprehensive maritime monitoring services by building a meaningful solution for wide coverage, fine details, intensive monitoring, premium reactivity and interpretation response. Combining its proprietary-data with highly-trained analysts, they help to support the maritime industry to increase knowledge, anticipate threats, trigger alerts, and improve efficiency at sea. A lot of work has been done over the last 10 years to automatically extract objects from satellite images with significative results but no effective operational effects. Now Airbus is turning to Kagglers to increase the accuracy and speed of automatic ship detection.

Kaggle: Google Analytics Customer Revenue Prediction

13 сентября 2018 — 16 ноября 2018
Осталось 3 недели, 3 дня
In this competition, you’re challenged to analyze a Google Merchandise Store (also known as GStore, where Google swag is sold) customer dataset to predict revenue per customer. Hopefully, the outcome will be more actionable operational changes and a better use of marketing budgets for those companies who choose to use data analysis on top of GA data.

Pommerman

21 мая 2018 — 21 ноября 2018
Осталось 4 недели, 1 день
Build an AI to Compete against the World.

Kaggle: Quick, Draw! Doodle Recognition Challenge

26 сентября 2018 — 5 декабря 2018
Осталось 1 месяц, 1 неделя
Your task is to build a better classifier for the existing Quick, Draw! dataset. By advancing models on this dataset, Kagglers can improve pattern recognition solutions more broadly. This will have an immediate impact on handwriting recognition and its robust applications in areas including OCR (Optical Character Recognition), ASR (Automatic Speech Recognition) & NLP (Natural Language Processing).

Kaggle: PLAsTiCC Astronomical Classification

29 сентября 2018 — 18 декабря 2018
Осталось 1 месяц, 3 недели
The Photometric LSST Astronomical Time-Series Classification Challenge (PLAsTiCC) asks Kagglers to help prepare to classify the data from this new survey. Competitors will classify astronomical sources that vary with time into different classes, scaling from a small training set to a very large test set of the type the LSST will discover.

crowdAI: AI-generated music challenge

1 января 2018 — 31 декабря 2018
Осталось 2 месяца, 1 неделя
In this challenge, participants are tasked to generate an AI model that learns on a large data set of music (in the form of MIDI files), and is then capable of producing its own music. Concretely, the model must produce a music piece in response to a short “seed” MIDI file that is given as input. There are two special aspects of this challenge, apart from the extremely interesting application. First, the results of the models will be evaluated by humans, with an ELO-style system where volunteers are given two randomly paired pieces of generated music, and choose the one they like better. Second, the top five models will at the end each generate a piece of music that will be performed live on stage at the Applied Machine Learning Days!

Kaggle: Predict Future Sales

8 февраля 2018 — 2 января 2019
Осталось 2 месяца, 1 неделя
This challenge serves as final project for the "How to win a data science competition" Coursera course. In this competition you will work with a challenging time-series dataset consisting of daily sales data, kindly provided by one of the largest Russian software firms - 1C Company.

Kaggle: Two Sigma Using News to Predict Stock Movements

25 сентября 2018 — 9 января 2019
Осталось 2 месяца, 2 недели
By analyzing news data to predict stock prices, Kagglers have a unique opportunity to advance the state of research in understanding the predictive power of the news. This power, if harnessed, could help predict financial outcomes and generate significant economic impact all over the world.

Kaggle: Human Protein Atlas Image Classification

4 октября 2018 — 11 января 2019
Осталось 2 месяца, 2 недели
In this competition, Kagglers will develop models capable of classifying mixed patterns of proteins in microscope images. The Human Protein Atlas will use these models to build a tool integrated with their smart-microscopy system to identify a protein's location(s) from a high-throughput image.