April 26, 2021 NLP

MLOps Primer – 2021

Machine learning operations (MLOps) is becoming an exciting space as we figure out the best practices and technologies to deploy machine learning models in the real world. MLOps enable ML teams to build responsible and scalable machine learning systems and infrastructure. This facilitates tasks that range from risk assessment to building and testing to monitoring. While still in its infancy, MLOps has attracted machine learning engineers and software engineers in general. With every new paradigm comes new challenges and opportunities […]

Machine Translation Weekly 76: Zero-shot MT with pre-trained encoder

Using pre-trained multilingual representation as a universal encoder for machine translation might seem like an obvious thing to try: train a decoder into one target language using one or several source languages and you get a translation from 100 languages into the target language. This sounds great, but this is not how it works. (Or it works somehow, but not really well, I tried it myself.) Recently, I came across a pre-print where the authors figured out how to do […]

April 25, 2021 Natural Language Processing

A software toolkit for weak supervision applied to NLP tasks

skweak Labelled data remains a scarce resource in many practical NLP scenarios. This is especially the case when working with resource-poor languages (or text domains), or when using task-specific labels without pre-existing datasets. The only available option is often to collect and annotate texts by hand, which is expensive and time-consuming. skweak (pronounced /skwi:k/) is a Python-based software toolkit that provides a concrete solution to this problem using weak supervision. skweak is built around a very simple idea: Instead of […]

April 25, 2021 Machine Learning

Learning Calibrated-Guidance for Object Detection in Aerial Images

CG-Net This codebase is created to build benchmarks for object detection in aerial images. It is modified from mmdetection. The master branch works with PyTorch 1.1 or higher. If you would like to use PyTorch 0.4.1, please checkout to the pytorch-0.4.1 branch. Results Visualization results for oriented object detection on the test set of DOTA. Comparison to the baseline on DOTA for oriented object detection with ResNet-101. The figures with blue boxes are the results of the baseline and pink […]

April 25, 2021 Command-line Tools

A scriptable stream downloader for Qobuz, Tidal, Deezer and SoundCloud

streamrip A scriptable stream downloader for Qobuz, Tidal, Deezer and SoundCloud. Features Super fast, as it utilizes concurrent downloads and conversion Downloads tracks, albums, playlists, discographies, and labels from Qobuz, Tidal, Deezer, and SoundCloud Supports downloads of Spotify and Apple Music playlists through last.fm Automatically converts files to a preferred format Has a database that stores the downloaded tracks’ IDs so that repeats are avoided Easy to customize with the config file Installation First, ensure pip is installed. Then run […]

April 25, 2021 Framework

A fast and robust LiDAR point cloud panoptic segmentation framework

Panoptic-PolarNet This is the official implementation of Panoptic-PolarNet. Panoptic-PolarNet is a fast and robust LiDAR point cloud panoptic segmentation framework. We learn both semantic segmentation and class-agnostic instance clustering in a single inference network using a polar Bird’s Eye View (BEV) representation. Predictions from the semantic and instance head are then fused through a majority voting to create the final panopticsegmentation. We test Panoptic-PolarNet on SemanticKITTI and nuScenes datasets. Experiment shows that Panoptic-PolarNet reaches state-of-the-art performances with a real-time inference […]

April 25, 2021 Machine Learning

Simple Contrastive Learning of Sentence Embeddings

SimCSE We propose a simple contrastive learning framework that works with both unlabeled and labeled data. Unsupervised SimCSE simply takes an input sentence and predicts itself in a contrastive learning framework, with only standard dropout used as noise. Our supervised SimCSE incorporates annotated pairs from NLI datasets into contrastive learning by using entailment pairs as positives and contradiction pairs as hard negatives. The following figure is an illustration of our models. Use our models out of the box Our pre-trained […]

April 25, 2021 Face recognition

Face Recognition plus identification simply and fast with python

PyFaceDetection Face Recognition plus identification simply and fast. Ubuntu Setup sudo pip3 install numpy sudo pip3 install cmake sudo pip3 install dlib sudo pip3 install opencv-contrib-python sudo pip3 install face_recognition GitHub https://github.com/peymanmajidi/PyFaceDetection

April 25, 2021 Computer Vision

GitHub self-hosted runner matrix build visualizations for Kubernetes

visualize-actions-matrix-builds-on-k8s This repository contains various GitHub Action workflows to trigger Matrix builds on self-hosted GitHub Action runners and visualize their outputs and pod allocations on LED matrices connected to Raspberry PI. Similar visualization scripts are also available for desktop PCs. Watch a one minute video how runners spin up based on a GitHub matrix build, wtach their pods in Kubernetes and see how they stream their work to a widget. … and another movie showing the LED matrix showing the […]

April 25, 2021 Machine Learning

A Python package for performing pore network modeling of porous media

OpenPNM OpenPNM is a comprehensive framework for performing pore network simulations of porous materials. For more details about the package can be found in the on-line documentation To be notified of new releases click the Watch button on the Github repo page. To show your support for this project click the Star button, as we use this as a proxy for the size of our userbase when applying for funding. Installation and Requirements Preferred method The preferred way of installing […]

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