Google Open-Sources LIT: A Visual, Interactive Model-Understanding Tool For NLP Models

Google AI Researchers recently released its open-source tool LIT (Language Interpretability Tool) for visualizing, auditing, and understanding the NLP models.

Stanza: Official Stanford NLP Python Library for Many Human Languages

Stanford University NLP researchers have built Stanza, a multi-human language tool kit. This is certainly worth a look for those working with...

DeepMind releases Acme: A library of reinforcement learning components and agents

DeepMind has recently released Acme, a library with an objective to simplify the development of reinforcement learning algorithms and agent building blocks. This application can...

Google AI introduces TF-Coder, a program synthesis tool that helps you write TensorFlow code

Manipulating tensors is not an easy task as it requires a lot of prerequisites, such as keeping track of multiple dimensions, Dtype...

Hummingbird: A library for compiling trained traditional machine learning models into tensor computations

This is really a cool work out of Microsoft research called hummingbird. You can convert traditional machine learning models to tensor computations...

PyRetri: An Open-Source Deep Learning Based Unsupervised Image Retrieval Library Built on PyTorch

Content-based image retrieval (CBIR) uses a representation of visual content to identify relevant images, and it is one of the fundamental research...

UC Berkeley Researchers Open-Source ‘RAD’ To Improve Any Reinforcement Learning Algorithm

In Reinforcement Learning (RL), it has always been challenging to learn from visual observations, which is a fundamental yet challenging problem. Despite...

Google AI Introduces Menger, A Massive Large-Scale Distributed Reinforcement Learning (RL) Infrastructure

Reinforcement learning (RL) is a significant area of machine learning, with the potential to solve a lot of real world problems in various...

SpeechSplit, an autoencoder that can decompose speech into content, timbre, rhythm and pitch

Human speech can be broken into four important components: content, timbre, pitch, and rhythm. The first component 'content' ofspeech shows the primary...

DeepMind introduces a new machine learning model to improve Google Maps

If you are one of those who start their journey by setting the route on Google Maps, Google brings you a better...
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