Training neural networks is often done by measuring many different metrics such as accuracy, loss, gradients, etc. This is most of the time done aggregating these metrics and plotting visualizations on TensorBoard. There are, however, other senses that we…

Learn how to build something smarter than ElasticSearch using a few open-source libraries and a pre-trained Univesal Sentence Encoder…

Following an eventful week at ACL 2019, I summarize key trends and takeaways to look for in NLP.

An easy to use open-source library for advanced Deep Learning and Natural Language Processing - GitHub - hiredscorelabs/tamnun-ml: An easy to use open-source library for advanced Deep Learning and ...

Проект для перевода чисел, записанных в текстовом виде на русском языке. - SergeyShk/Word-to-Number-Russian

Hello, ACL 2019 has just finished and I attended the whole week of the conference talks, tutorials, and workshops in beautiful Florence…

🔧 A curated list of awesome dataset tools. Contribute to jsbroks/awesome-dataset-tools development by creating an account on GitHub.

Six comments from the community and responses from the original authors

The Cycle Generative adversarial Network, or CycleGAN for short, is a generator model for converting images from one domain to another domain. For example, the model can be used to translate images of horses to images of zebras, or photographs of city landscapes…

Since Jan. 2019, I have started leading a team at Tencent AI Lab and working on a new system GNES (Generic Neural Elastic Search). GNES is an open-sou ... · Han Xiao

Let's look at compression methods for neural networks, such as quantization and pruning. Then, we apply one to BERT using TensorFlow Lite.

Training neural networks can be very confusing! What’s a good learning rate? How many hidden layers should your network have? Is dropout actually useful? Why are your gradients vanishing? In this p…

GauGAN plugin for GIMP. Contribute to prusnak/gimp-plugin-gaugan development by creating an account on GitHub.

Discussions:
Hacker News (64 points, 3 comments), Reddit r/MachineLearning (219 points, 18 comments)


Translations: Simplified Chinese, French, Korean, Russian, Turkish






This year, we saw a dazzling application of machine learning. The OpenAI GPT…

bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent - google-deepmind/bsuite

Recently, Facebook AI has advanced state-of-the-art results in key language understanding tasks and also launched a new benchmark to push AI systems further

A new paper by Liu, Jian, He et al introduces RAdam, or “Rectified Adam”. It’s a new variation of the classic Adam optimizer that provides…

Explore and run machine learning code with Kaggle Notebooks | Using data from Meta Kaggle