Proteins play countless roles throughout the biological world, from catalyzing chemical reactions to building the structures of all living things. Despite this wide range of functions all proteins are made out of the same twenty amino acids, but combined in different ways. The way these twenty amino acids are arranged dictates the folding of the protein into its primary, secondary, tertiary, and quaternary structure. Since protein function is based on the ability to recognize and bind to specific molecules, having the correct shape is critical for proteins to do their jobs correctly. Learn more about the relationship between protein structure and function in this video.
A collection of .BLEND and .FBX files to accompany the Robotic Design with Blender tutorial series on YouTube:(Part 1) https://youtu.be/aRBHMRa6pIA(Part 2) https://youtu.be/TKc-g84j2x8(Part 3) https://youtu.be/Cuo_ytkvCpo(Part
Hi Guys, I have Always been asked to share my code which I use in my video. Answering people’s questions is great, and the feeling you get when you solve a p...
One of the hardest concepts to grasp when learning about Convolutional Neural Networks for object detection is the idea of anchor boxes. It is also one of the most important parameters you can tune…
Path tracing is a method for generating digital images by simulating how light would interact with objects in a virtual world. The path of light is traced by...
ReSanskrit explores every aspect of Aditya Hrudayam Stotram - right from the story, rules of recitation, benefits and scientific significant. Click to read now
You remember prime numbers, right? Those numbers you can’t divide into other numbers, except when you divide them by themselves or 1? Right. Here is a 3000 year old question: Present an argument or…
This tutorial aims to encourage creative coders to consider Blender as a platform for creating 3D artworks. Blender can be daunting to learn, so this primer is written for those who’ve tried their…
Going to a conference is always an excitement and fun: one can connect with like-minded individuals and exchange stimulating ideas. However, in order to make the most out of a conference, a lot of hard work is needed before, during and after the meeting. This blog post provides a checklist of things to do before,…
Learn the Linux/ Unix command line (Bash) with our 13 part beginners tutorial. Clear descriptions, command outlines, examples, shortcuts and best practice.
In this tutorial you'll learn two methods you can use to perform real-time object detection using deep learning on the Raspberry Pi with OpenCV and Python.
This blog is a part of "A Guide To TensorFlow", where we will explore the TensorFlow API and use it to build multiple machine learning models for real- life examples. In this blog we shall uncover TensorFlow *Graph*, understand the concept of *Tensors* and also explore TensorFlow data types.
Video created by Johns Hopkins University for the course "Bioconductor for Genomic Data Science". In this week, we will cover Getting data in Bioconductor, Rsamtools, oligo, limma, and minfi Learn online and earn valuable credentials from top ...
- Understanding the GitHub Flow
- Hello World
- Getting Started with GitHub Pages
- Git Handbook
- Forking Projects
- Be Social
- Making Your Code Citable
- Mastering Issues
- Mastering Markdown
- Documenting your projects on GitHub
In this tutorial I’ll explain how to build a simple working Recurrent Neural Network in TensorFlow. This is the first in a series of seven parts where various aspects and techniques of building…
GloVe + character embeddings + bi-LSTM + CRF for Sequence Tagging (Named Entity Recognition, NER, POS) - NLP example of bidirectionnal RNN and CRF in Tensorflow
This article assumes some computer science knowledge on the reader’s part, in particular how recursion works, and how the tree data structure works. It would also be beneficial to have some prior…
OpenGL 4 with OpenTK in C# Part 1: Initialize the GameWindow; Author: Eowind; Updated: 27 Jan 2017; Section: OpenGL; Chapter: Multimedia; Updated: 27 Jan 2017
A. Cimatti, F. Fraternali, и C. Nipoti. (2019)cite arxiv:1912.06216Comment: 17 pages, 3 figures, first introductory chapter of the textbook published by Cambridge University Press. For more information https://decdb4ae-c884-4971-9114-5f11b6929fd9.filesusr.com/ugd/f44359_26d2207ea96e4f359636feb5b7473336.pdf.
G. Bauch, и G. Dietl. (октября 2008)Tutorial at the 4th Annual IEEE International Conference on Wireless and Mobile Computing, Networking, and Communications, WiMob 2008, Avignon, France.
G. Bauch, и G. Dietl. (декабря 2007)Tutorial at the 10th International Symposium on Wireless Personal Multimedia Communications, WPMC 2007, Jaipur, India, December 2007.
A. Slivkins. (2019)cite arxiv:1904.07272Comment: The manuscript is complete, but comments are very welcome! To be published with Foundations and Trends in Machine Learning.
R. Sharipov. (2004)cite arxiv:math/0412421Comment: The textbook, AmSTeX, 132 pages, amsppt style, prepared for double side printing on letter size paper.
R. Sharipov. (2004)cite arxiv:math/0405323Comment: The textbook, AmSTeX, 143 pages, amsppt style, prepared for double side printing on letter size paper.
M. Caspersen, и J. Bennedsen. Proceedings of the Third International Workshop on Computing Education Research, стр. 111--122. New York, NY, USA, ACM, (2007)
U. Menne. (2017)cite arxiv:1705.05253Comment: The present text is a version with additional references but without figures of a note compiled for the Notices of the American Mathematical Society. (v4: considerably expanded introduction, 6 pages).
M. Caspersen, и J. Bennedsen. Proceedings of the Third International Workshop on Computing Education Research, стр. 111--122. New York, NY, USA, ACM, (2007)
C. Lange, M. Kerber, и C. Rowat. (2013)Tutorial at INFORMATIK 2013, Computer science adapted to humans, organization and the environment, 43rd annual meeting of the German Informatics Society (Gesellschaft für Informatik e.V. (GI)).
A. Saibaba. (2015)cite arxiv:1511.05208v2.pdfComment: 28 pages, 9 figures, minor revisions. Lemma 3.2 has been removed and result of Theorem 3.3 (new version) is significantly better.