The Big Bad NLP Database: Access Nearly 300 Datasets

Check out this database of nearly 300 freely-accessible NLP datasets, curated from around the internet.

Check out this database of nearly 300 freely-accessible NLP datasets, curated from around the internet.
Learn about the advanced features the requests library hides under the hood. DRY base URLs, hooks, retry on failure, default timeouts and mocking.
If you’re looking for a primer on many of the responsibilities of being a startup CEO, read The Great CEO Within. Matt Mochary wrote the book. He founded a company which he sold to MCI and now coaches startup CEOs, amongst other philanthropic efforts. The best part of this book…

Least Squares and Computation (with R and C++)

TLDR: This is basically about converting the original attention paper by Yoshua Bengio’s group to flowcharts. Check the last diagram…

How to Leverage Data Visualization with Wrapping Algorithm

This post walks through a side-by-side comparison of MNIST implemented using both PyTorch and PyTorch Lightning.
This article introduces the easy to use blogging platform fastpages. fastpages relies on Github pages for hosting, and Github Actions to automate the creation of your blog, and contains extra features for Jupyter Notebooks.

Multi-armed bandits are a simple but very powerful framework for algorithms that make decisions over time under uncertainty. “Introduction to Multi-Armed Bandits” by Alex Slivkins provides an accessible, textbook-like treatment of the subject.

55K subscribers in the angularjs community. A community for the awesome MVC JS framework.

55K subscribers in the angularjs community. A community for the awesome MVC JS framework.

All the essential Deep Learning Algorithms you need to know including models used in Computer Vision and Natural Language Processing
It's been said that ideas don't matter, and that only execution does. I wholeheartedly disagree. You need both to succeed, but you can only get so good...

Two programmer-musicians wrote every possible MIDI melody in existence to a hard drive, copyrighted the whole thing, and then released it all to the public in an attempt to stop musicians from getting sued. From a report: Programmer, musician, and copyright attorney Damien…

We saw how attention works and how it improved neural machine translation systems (see the previous blogpost), we are going to unveil the secrets behind the power of the most famous NLP models nowadays (a.k.a BERT and friends), the transformer. In this second part, we are going…

Arguably more famous today than Michael Bay’s Transformers, the transformer architecture and transformer-based models have been breaking all kinds of state-of-the-art records. They are (rightfully) getting the attention of a big portion of the deep learning community and…
This little-known method could very well be the answer to the greatest obstacle facing artificial intelligence's adoption in health care. (from March)

As easy to use as a word document or bulleted list, and as powerful for finding, collecting, and connecting related ideas as a graph database. Collaborate with others in real time, or store all your data locally.
Learn how to get faster composite op-amp dynamics by raising the slew rate.

A gentle introduction to Hamming codes, error correcting binary codes whose words are all a Hamming distance of at least 3 apart.

In Ruby, methods can take a single block as an argument, which can be specified explicitly in the met...

This post is about setting up a hyperparameter tuning framework for Data Science using scikit-learn/xgboost/lightgbm and pySpark

DataRobot MLOps is helping to increase AI value by automating the deployment, optimization, and governance of machine learning applications.

Many imbalanced classification tasks require a skillful model that predicts a crisp class label, where both classes are equally important. An example of an imbalanced classification problem where a class label is required and both classes are equally important is the detection…

Do the best you can until you know better. Then when you know better, do better. ― Maya Angelou

At most gyms, there’s a cylindrical pad on the floor somewhere near the squat rack. (If it’s not there, check the Smith machine.) When I first started squatting, I needed that pad on the bar—or thought I did. How else would I protect my bony neck? But the truth is, you don’t…

The Dormand-Prince algorithm is similar to the popular RKF45 adaptive Runge-Kutta method but produces more precision relative to the amount of computation.

Packing an astonishing amount of information into an easy-to-digest visual, it's well worth the download.

Imbalanced classification is primarily challenging as a predictive modeling task because of the severely skewed class distribution. This is the cause for poor performance with traditional machine learning models and evaluation metrics that assume a balanced class distribution…

Whether you’re taking up the oboe or finessing your Finnish, scientific research offers tips to aid learning
An easy to use blogging platform, with enhanced support for Jupyter Notebooks. - fastai/fastpages

Betting markets show Bloomberg as a leading candidate. Really?

What can we do when we don't have a substantial amount of varied training data? This is a quick intro to using data augmentation in TensorFlow to perform in-memory image transformations during model training to help overcome this data impediment.

Posted by Shreeyak Sajjan, Research Engineer, Synthesis AI and Andy Zeng, Research Scientist, Robotics at Google Optical 3D range sensors, like R...
Training an end-to-end differentiable, self-organising cellular automata model of morphogenesis, able to both grow and regenerate specific patterns.
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What really motivates you more, the promise of a reward if you succeed or a debt if you don’t?
Ardan Labs is trusted by small startups and Fortune 500 companies to train their engineers and develop business software solutions and applications.

amos loves to tinker

Here are seven cool and simple CSS button styles examples for you to try on your WordPress website.


By popular demand, I’ve updated this article with the latest tutorials from the past 12 months. Check it out here
The fastai deep learning library.
PRML algorithms implemented in Python.