bookmarks (hide)369
- For several months now, I've been working on a adversarial network that takes synthetic audio as input and enhances it to sound more natural. I...
- Streamlit is an open-source app framework for Machine Learning and Data Science teams. Create beautiful web apps in minutes.
- GAN-based Mel-Spectrogram Inversion Network for Text-to-Speech Synthesis - GitHub - descriptinc/melgan-neurips: GAN-based Mel-Spectrogram Inversion Network for Text-to-Speech Synthesis
- StyleGAN - Official TensorFlow Implementation. Contribute to NVlabs/stylegan development by creating an account on GitHub.
- starter from "How to Train a GAN?" at NIPS2016. Contribute to soumith/ganhacks development by creating an account on GitHub.
- Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge. - GitHub - d2l-ai/d2l-en: Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
- VegaFusion provides serverside acceleration of the Vega visualization grammar
- Turns even the largest data into images, accurately.
- A library for efficient similarity search and clustering of dense vectors. - GitHub - facebookresearch/faiss: A library for efficient similarity search and clustering of dense vectors.
- tomotopy is a Python extension of tomoto (Topic Modeling Tool) which is a Gibbs-sampling based topic model library written in C++. It utilizes a vectorization of modern CPUs for maximizing speed. The current version of tomoto supports several major topic models including
- Force-directed layout algorithms for Python
- Building chord diagrams in d3.js: simple and customized examples with reproducible code.
- Using d3.js to create a very basic network graph
- Learn how to draw graphs using LaTeX.
- In this 3-part blog series we present a unifying perspective on pre-trained word embeddings under a general framework of matrix factorization. The most popular word embedding model, Word2vec, has…
- Convolutional Neural Networks for Sentence Classification in PyTorch - Cheneng/TextCNN
- New Way to Experience the Breadth and Variety of ACM Content
- When we want to put legend somewhere in a figure using Matplotlib, most of the time, the option loc='best' will produce the desired results. However, sometimes, we may want to have finer control over where the legend should be in the image. For example, we may want to put the legend outside of the axes, which is impossible using loc='best'.
- A light-weight Python API for classifying scientific documents with the topics from the Computer Science Ontology (https://cso.kmi.open.ac.uk/home).
- Ray provides a simple, universal API for building distributed applications.
- Ridiculously Uncomplicated macOS Python Statusbar apps - jaredks/rumps
- Hacer una linea de tiempo en Internet es una excelente forma de contar una historia, tanto para uso educativo como para explicar algo a amigos y familiares. Hay varias opciones que permiten realizar esa tarea, y os nos vamos a centrar en una de reciente creación ChronoFlo Timeline Maker. Disponible en chronoflotimeline.com, permite a cualquiera producir cronogramas cautivadores sobre la historia o la cultura que puede compartir en la web. Antes de comentar sus funciones, veamos un ejemplo con una línea de tiempo con los presidentes de américa: click aquí (los 45 presidentes del país frente a los eventos clave que tuvieron lugar durante su tiempo en el cargo). La empresa Webalon, son sede en Londres, ha sido la responsable por esta nueva aplicación capaz de crear líneas de tiempo en línea para resaltar la vida de personas famosas, examinar los eventos definitorios en la historia humana o celebrar un aniversario de la compañía. Ellos saben que hay aplicaciones semejantes desde hace 10 años (podéis ver varias en este enlace), pero apuestan por vistas en 3D con eventos en segundo o primer plano, creando un efecto de paralaje visualmente agradable a medida que se desplaza por una línea de tiempo, que recuerda a los juegos de desplazamiento lateral en 3D. Dispone también de una gran variedad de opciones de personalización. Hay cinco tipos de vista diferentes además de la vista 3D, incluidas las opciones de línea de tiempo vertical y horizontal. Los usuarios pueden elegir entre varios temas creados a mano que vienen de serie con el servicio, cada uno aplicando un esquema de color radicalmente diferente a una línea de tiempo. También existe la opción de crear su propio tema, lo que le permite crear un esquema de color que combine perfectamente con su marca. En el lanzamiento, hay más de 20 diseños de paneles de eventos para elegir, incluidas duraciones de estilo Gantt, citas de extracción y paneles de imágenes, que podemos mezclar y combinar en una sola línea de tiempo. Esto hace que no sea necesario rediseñar, cambiar el tamaño o cambiar el color de los eventos manualmente, el software lo hace de forma automática. En cuanto al modelo de negocio, es un modelo freemium: podemos crear una línea de tiempo completamente funcional que se puede compartir en la web sin pagar nada. Los usuarios de cuentas premium pueden incrustar sus líneas de tiempo en su sitio web y subir imágenes a los servidores de ChronoFlo.
- Creating animations with Python's Matplotlib is quick and easy once you know how to do it. However, when learning I found the tutorials and examples online either daunting, overly sophisticated, or lacking explanation. In many cases all I need is a quick-and-dirty script that works, rather than longer code that adheres to best practices. See…
- Companion webpage to the book “Mathematics for Machine Learning”. Copyright 2020 by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong. Published by Cambridge University Press.
- The goal of the QMK software project is to develop a completely customizable, powerful, and enjoyable firmware experience for any project - keyboard or otherwise - and to provide helpful, encouraging, and kind support and feedback for people with any software development experience.
- Sleeping Mac = Bluetooth off. Contribute to odlp/bluesnooze development by creating an account on GitHub.
- Graph neural networks exploit relational inductive biases for data that come in the form of a graph. However, in many cases the graph is not available. Can we still use them?
- Der Autor hat den Free and Open Source Fund dazu ausgewählt, eine Spende im Rahmen des Programms Write for DOnations zu erhalten. Flask ist ein kleines und schlankes…
- A python library that aims to retrieve data from Semantic Scholar API
- Nimfa is a Python library for nonnegative matrix factorization.
- Python3 package for searching, navigating, and modifying LaTeX documents using BeautifulSoup-esque idioms - alvinwan/TexSoup
- spaCy is a free open-source library for Natural Language Processing in Python. It features NER, POS tagging, dependency parsing, word vectors and more.
- Anyplace
- Subgroup discovery in python.
- This section provides full-length lecture videos that cover the content of the course. Lecture 20, which focuses on the AI business, is not available.
- Differences between PCA, PCoA (MDS), PO and more
- ELI5 is a Python library which allows to visualize and debug various Machine Learning models using unified API. It has built-in support for several ML frameworks and provides a way to explain black-box models.
- Data Science In the Wild Lectures
- Nethugging client for Android, from wigle.net. Contribute to wiglenet/wigle-wifi-wardriving development by creating an account on GitHub.
- A type-safe HTTP client for Android and Java
- A project template and directory structure for Python data science projects.
- Bookmarks are for books, not browsers. Organize your browser tabs into Toby so you can access key resources in one-click instead of seven.
- Papers With Code highlights trending ML research and the code to implement it.
- Examples built with TensorFlow.js. Contribute to tensorflow/tfjs-examples development by creating an account on GitHub.
- Papers receiving best Paper Awards from Ubicomp conferences
- Repository for Indoor Positioning Databases. Inlcuding UJIIndoorLoc the first Multi-building DB!
- A memory leak detection library for Android and Java. - square/leakcanary
- Recent changes in industry standards and practices enable up to 10x location-accuracy improvements. This talk will explain when and how developers can get or...
- 1INTRANAV world's leading Enterprise RTLS & IoT Sensor Platform for Real Time Localization, Identification & Indoor-Navigation. #1 Award Winning Precise UWB Turnkey Solution for Auto-ID, MHE Tracking in Automotive, Intralogistic, Supply Chain, Manufacturing and Production. ATEX, EX, CE & FCC Certification. Active & passive RFID. TDOA, TWR, AOA. Big Data Analytics for Smart Factory BI. Made in Germany – quantitec
- Python Development Workflow for Humans.
- pyclustring is a python data mining library
- Heritrix is the Internet Archive's open-source, extensible, web-scale, archival-quality web crawler project.
- Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love
- elephas - Distributed Deep learning with Keras & Spark
- research on human mobility and urban computing
- Simple, unobtrusive authentication for Node.js
- Frequently asked questions, answered
- find - High-precision indoor positioning framework for most wifi-enabled devices.
- whereami - Uses WiFi signals :signal_strength: and machine learning to predict where you are
- whereareyou - Passive indoor localization using WiFi signal strength
- A collection of code samples, recipes and tutorials on the various ways you can use the Congitive Toolkit against scenarios for image, text and speech data.
- Mapping Uni Freiburg 2012
- CoreML
- High-quality, interactive maps that are searchable, linkable and easy to integrate. MazeMap is a modern cross-web technology platform for indoor maps.
- Activity Recognition Datasets
- Common time series features (+ library for audio analysis)
- Jeremy is talking about that CNN maybe will take over by the end of the year. What would be the best solution for a time series with parallel parameters that normally use LSTM/GRU to solve before? For example predicting…
- APIs to convert machine learning models to the pmml standard (and import them).
- Introduction to Deep Learning
- Book about probabilistic methods in Jupyter notebooks
- pomegranate - Fast, flexible and easy to use probabilistic modelling in Python.
publications (hide)219
- (2014)
- (2023)
- Proceedings of the 18th Annual International Conference on Mobile Computing and Networking, page 269--280. New York, NY, USA, ACM, (2012)
- IEEE Transactions on Parallel and Distributed Systems, 24 (4): 839-848 (2013)
- Program, 14 (3): 130-137 (1980)
- (October 2022)
- (2022)
- Princeton University Press, (1961)
- International Journal on Digital Libraries, 17 (4): 305--338 (2016)
- (2021)cite arxiv:2109.11343.
- (2021)cite arxiv:2106.09789Comment: 18 pages.
- Proceedings of the 29th International Coference on International Conference on Machine Learning, page 9–16. Madison, WI, USA, Omnipress, (2012)
- Nature Machine Intelligence, 1 (5): 206--215 (2019)
- DSAA, page 165-174. IEEE, (2017)
- Expert Syst. Appl., 42 (13): 5645-5657 (2015)
- Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 2105–2114. New York, NY, USA, Association for Computing Machinery, (2016)
- KDD, page 490-499. ACM, (2007)
- J. Assoc. Inf. Sci. Technol., 61 (9): 1871-1887 (2010)
- J. Assoc. Inf. Sci. Technol., 68 (1): 214-233 (2017)
- (2017)cite arxiv:1702.08608.
