Python module + R package to predict the reactions to a given text using a pretrained recurrent neural network. - minimaxir/reactionrnn

Project #1: An app for the visually impaired that describes your surroundings in plain English Project #2: Vision system for autonomous vehicles Project #3: ...

Gentle introduction to the Stacked LSTM
with example code in Python.
The original LSTM model is comprised of a single hidden LSTM layer followed by a standard feedforward output layer.

The Stacked LSTM is an extension to this model that has multiple…

Как известно, в IT мужчин значительно больше, чем женщин, хотя последние зачастую не уступают по знаниям и навыкам. По нашим наблюдениям, в сфере Data Science эт...

The BAIR Blog

In many real-world Machine Learning projects, there is a need to ensemble complex models as well as maintain pipelines.

Всем привет, в этом посте я расскажу о том, как мне удалось занять 11 место в конкурсе от компании Мерседес на kaggle , который можно охарактеризовать как лидера по количеству участников и по...

Pytorch C++ Library. Contribute to warmspringwinds/pytorch-cpp development by creating an account on GitHub.

Four deep learning neural networks work together simultaneously to play the game Path of Exile only using visual input from the game. Project summary video w...

To access the CryptoCompare public API in Python, we can use the following Python wrapper available on GitHub: cryCompare.

A MNIST-like fashion product database. Benchmark :point_down: - GitHub - zalandoresearch/fashion-mnist: A MNIST-like fashion product database. Benchmark

Docker is awesome — more and more people are leveraging it for development and distribution. Instant environment setup, platform independent apps, ready-to-go solutions, better version control, simplified maintenance: Docker has a lot of benefits.

I recently came across an ICML’17 paper “Attentive Recurrent Comparators” which proposes a simple yet powerful model for data efficient…

I show how to automatically fit the Support Vector Machine cost parameter by automating the manual search for the optimal cost.

На школе мы объясним, как байесовские методы и глубинное обучение объединяются в единый формализм, покажем примеры успешного применения нейробайесовских моделей, расскажем про современные методы стохастической оптимизации и основные библиотеки глубинного…