Advanced, NLP, Project, Python, Structured Data, Technique, Text

All You Need to know about BERT

This article was published as a part of the Data Science Blogathon Introduction Machines understand language through language representations. These language representations are in the form of vectors of real numbers. Proper language representation is necessary for a better understanding of the language by the machine. Language representations are of two types: (i) Context-free language representation such as Glove and Word2vec where embeddings for each token in the vocabulary are constant and it doesn’t depend on the context of the word. […]

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Advanced, NLP, Project, Python, Text, Unstructured Data

Analyzing customer feedbacks using Aspect Based Sentiment Analysis

This article was published as a part of the Data Science Blogathon Introduction With the advancement in technology, the growth of social media like Facebook, Twitter, Instagram has been a platform for the customers to give feedback to the businesses based on their satisfaction. The reviews posted by customers are the globally trusted source of genuine content for other users. Customer feedback serves as the third-party validation tool to build user trust in the brand. For understanding these customer feedbacks […]

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Beginner, Data Cleaning, NLP, Python, Text, Unstructured Data, Word Embeddings

Part- 6: Step by Step Guide to Master Natural Language Processing (NLP) in Python

This article was published as a part of the Data Science Blogathon Introduction This article is part of an ongoing blog series on Natural Language Processing (NLP). In the previous article of this series, we completed the statistical or frequency-based word embedding techniques, which are pre-word embedding era techniques. So, in this article, we will discuss the recent word-era embedding techniques. NOTE: In recent word-era embedding, there are many such techniques but in this article, we will discuss only the Word2Vec […]

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Advanced, NLP, Project, Python, Text

Part- 1: Step by Step Guide to Master Natural Language Processing (NLP) in Python

This article was published as a part of the Data Science Blogathon Introduction Computers and Machines are great while working with tabular data or Spreadsheets. However, human beings generally communicate in words and sentences, not in the form of tables or spreadsheets, and most of the information that humans speak or write is present in an unstructured manner. So it is not very understandable for computers to interpret these languages. Therefore, In natural language processing (NLP), our aim is to make […]

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Beginner, Data Cleaning, NLP, Python, Text

Part- 4: Step by Step Guide to Master Natural Language Processing in Python

This article was published as a part of the Data Science Blogathon Introduction This article is part of an ongoing blog series on Natural Language Processing (NLP). In the previous part of this blog series, we complete the initial steps involved in text cleaning and preprocessing that are related to NLP. Now, in continuation of that part, in this article, we will cover the next techniques involved in the NLP pipeline of Text preprocessing. In this article, we will first discuss […]

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Facebook NLP Research
NLP

Connecting What to Say With Where to Look by Modeling Human Attention Traces

June 17, 2021 By: Zihang Meng, Licheng Yu, Ning Zhang, Tamara Berg, Babak Damavandi, Vikas Singh, Amy Bearman Abstract We introduce a unified framework to jointly model images, text, and human attention traces. Our work is built on top of the recent Localized Narratives annotation framework, where each word of a given caption is paired with a mouse trace segment. We propose two novel tasks: (1) predict a trace given an image and caption (i.e., visual grounding), and (2) predict […]

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PyTorch

PyTorch implementation and pretrained models for XCiT models

Cross-Covariance Image Transformer (XCiT) PyTorch implementation and pretrained models for XCiT models. See XCiT: Cross-Covariance Image Transformer Linear complexity in time and memory Our XCiT models has a linear complexity w.r.t number of patches/tokens: Peak Memory (inference) Millisecond/Image (Inference) Scaling to high resolution inputs XCiT can scale to high resolution inputs both due to cheaper compute requirement as well as better adaptability to higher resolution at test time (see Figure 3 in the paper) Detection and Instance Segmentation for Ultra […]

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Games

Partially-observed visual reinforcement learning domain

CowHerd CowHerd is a partially-observed reinforcement learning environment, where the player walks around an area and is rewarded for milking cows. The cows try to escape and the player can place fences to help capture them. The implementation of CowHerd is based on the Crafter environment. Play Yourself You can play the game yourself with an interactive window and keyboard input.The mapping from keys to actions, health level, and inventory state are printedto the terminal. # Install with GUI pip3 […]

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Tool

The REDLI Tool follows the path of the URL

redli v1.0 Have you ever wondered: Where does this link go? The REDLI Tool follows the path of the URL. It allows you to see the complete path a redirected URL goes through. It will show you the full redirection path of URLs, shortened links, or tiny URLs. Requirements Python 3, requests and colorama libraries. Update: apt-get update Python 3: apt-get install python3 Requests: pip install requests colorama: pip install colorama Kali Linux / Termux git clone https://github.com/JayaKumar-pypro/redli.git cd redli […]

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Machine Learning

Simulate the notspot quadrupedal robot using Gazebo and ROS with python

Notspot robot simulation – Python version This repository contains all the files and code needed to simulate the notspot quadrupedal robot using Gazebo and ROS. The software runs on ROS noetic and Ubuntu 20.04. If you want to use a different ROS version, you might have to do some changes to the source code. Setup cd src && catkin_init_workspace cd .. && catkin_make source devel/setup.bash roscd notspot_controller/scripts && chmod +x robot_controller_gazebo.py cp -r RoboticsUtilities ~/.local/lib/python3.8/site-packages roscd notspot_joystick/scripts && chmod +x […]

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