BlazePose: On-device lightweight convolutional neural network architecture for human pose estimation

Every physical activity we do today can be tracked using Fitbit, phone apps, etc. Every step taken can be counted, but are...

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.

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...

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...

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...

AutoViz: A New Tool For Automated Visualization in Data Science

If you are looking for a tool that can perform automated visualization, AutoViz could be good one to try. It performs automatic...

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...

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...

CogMol: Framework developed by IBM based on deep learning to accelerate therapeutic developments for...

The global novel Coronavirus (COVID-19) pandemic is rapidly evolving and expanding. There is still a lot of news coverage about community spread every...

MIDAS: A New Approach with Real-Time Streaming Anomaly Detection in Dynamic Graphs

While most of the Machine learning articles are focussed on self-driving cars, GAN, and Image recognition, there are some other important areas...
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