🛠 All-in-one web-based IDE specialized for machine learning and data science. - ml-tooling/ml-workspace

Introduction The key to getting better at deep learning (or most fields in life) is practice. Practice on a variety of problems – from image processing to speech recognition. Each of these problem has it’s own unique nuance and approach. But where can you…

We've trained a pair of neural networks to solve the Rubik’s Cube with a human-like robot hand.

With all the new research coming out of DeepMind this year, we made our picks for the best research that they've published in 2019 so far.

Adversarial attacks are emerging as a major threat to progress in computer vision and machine learning as researchers race to find a defense.

As the final model release of GPT-2’s staged release, we’re releasing the largest version (1.5B parameters) of GPT-2 along with code and model weights to facilitate detection of outputs of GPT-2 models.

The Rubik’s cube solving hand is representative of a true research contribution, but its many caveats do not merit the PR hype

In this article, we propose a set of better practices, designed by and for eBay ML scientists, for facilitating weaving ML modeling into the cyclical Agile process flow.

Step-by-step guide to self-attention with illustration and code

Let's uncover the Top 10 NLP trends of 2019.

Microsoft Researchers with collaborators at Carnegie Mellon University and Stanford University created PipeDream, a new way to parallelize deep neural network training. See how PipeDream gets 5.3x faster training time by combining intra- and inter-batch parallelism.

A practical introduction.

Package for evaluating word embeddings. Contribute to kudkudak/word-embeddings-benchmarks development by creating an account on GitHub.

Hi. Pada artikel ini saya akan mengimplementasikan salah satu platform untuk data visualisasi, yaitu Tableau dengan contoh kasus “FIFA…

NeMo: a toolkit for conversational AI. Contribute to NVIDIA/NeMo development by creating an account on GitHub.

In collaboration with Google Play, our team that leads on collaborations with Google has driven significant improvements in the Play Store's discovery systems, helping to deliver a more personalised and intuitive Play Store experience for users.

CatBoost is based on gradient boosting. A new machine learning technique developed by Yandex that outperforms many existing boosting…