May 24, 2021 Weather

Help you find the weather of your favorite cities with python

Weather-App A service made with Flask and Python to help you find the weather of your favorite cities. Features Backend using Flask and Jinja Weather API to get the current weather data from all over the world Database to store city names and pictures with SQLite and SQLAlchemy Automatic web scrapping to find pictures of the cities Simple error messages Interactive page made with HTML, CSS, JavaScript and JQuery GitHub https://github.com/cau777/Weather-App

May 24, 2021 Web Crawling & Web Scraping

A tool to easily scrape youtube data using the Google API

YouTube data scraper To easily scrape any data from the youtube homepage, a youtube channel/user, search results, playlists, and a single video itself. Requires Python 3.6+ Installing $ pip3 install -r requirements.txt $ python3 Web-Youtube.py -h Works with: YouTube Homepage, youtube search, channel/user, video, and playlists Usage: Web-Youtube.py [OPTIONS] –link YouTube link –api Google/YouTube API key –comments Get comments from YouTube videos [turning on will increase program run time] –subtitles Get subtitles from YouTube videos –durationseconds Get seconds from YouTube […]

May 24, 2021 Python

Build a Blog Using Django, Vue, and GraphQL

Are you a regular Django user? Do you find yourself wanting to decouple your back end and front end, handling data persistence in the API while displaying the data in a client-side framework like React or Vue displays that data, in a single-page app (SPA) in the browser? You’re in luck. This tutorial will take you through the process of building a Django blog back end and a Vue front end, using GraphQL to communicate between them. Projects are an […]

May 24, 2021 Beginner, Libraries, NLP, Python, Text, Unstructured Data

Top 8 Python Libraries For Natural Language Processing (NLP) in 2021

This article was published as a part of the Data Science Blogathon. Introduction Natural language processing (NLP) is a field situated at the convergence of data science and Artificial Intelligence (AI) that – when reduced to the basics – is all about teaching machines how to comprehend human dialects and extract significance from the text. This is additionally why Artificial Intelligence is regularly essential for NLP projects. So what’s the reason, why many companies care about NLP? Basically in light […]

May 24, 2021 Advanced, Artificial intelligence, Deep Learning, NLP, PyTorch

BERT for Natural Language Inference simplified in Pytorch!

This article was published as a part of the Data Science Blogathon Introduction to BERT: BERT stands for Bidirectional Encoder Representations from Transformers. It was introduced in 2018 by Google Researchers. BERT achieved state-of-art performance in most of the NLP tasks at that time and drawn the attention of the data science community worldwide. It is extensively used today by data science practitioners for various NLP tasks. Details about the working of the BERT model can be found here. Introduction to […]

May 23, 2021 NLP

A Time-Domain Convolutional Recurrent Network for Packet Loss Concealment

Sewon Min, Jordan Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong […]

May 23, 2021 Machine Learning

An all-MLP replacement for Transformers in Pytorch

gMLP – Pytorch Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch Install $ pip install g-mlp-pytorch Usage For masked language modelling import torch from g_mlp_pytorch import gMLP model = gMLP( num_tokens = 20000, dim = 512, depth = 6, seq_len = 256 ) x = torch.randint(0, 20000, (1, 256)) logits = model(x) # (1, 256, 20000) For image classification import torch from g_mlp_pytorch import gMLPVision model = gMLPVision( image_size = 256, patch_size = 16, num_classes = 1000, dim […]

May 23, 2021 Video

Contact and Human Dynamics from Monocular Video

This is the official implementation for the ECCV 2020 spotlight paper by Davis Rempe, Leonidas J. Guibas, Aaron Hertzmann, Bryan Russell, Ruben Villegas, and Jimei Yang. For more information, see the project webpage. Environment Setup Note: the code in this repo has only been tested on Ubuntu 16.04. First create and activate a virtual environment to install dependencies for the code in this repo. For example with conda: conda create -n contact_dynamics_env python=3.6 conda activate contact_dynamics_env pip install -r requirements.txt […]

May 23, 2021 Deep Learning

A collection of pretrained models in Flax

Flax Models The goal of this project is to make current deep learning models more easily available for the awesome Jax/Flax ecosystem. Models Example Notebooks to play with on Colab Installation You will need Python 3.7 or later. For GPU usage, follow the Jax installation with CUDA. Then install: > pip install –upgrade git+https://github.com/matthias-wright/flaxmodels.git For CPU-only you can skip step 1. Documentation The documentation for the models can be found here. Checkpoints The checkpoints are taken from the repositories that […]

May 23, 2021 RESTful API

An iNaturalist API client for python

pyinaturalist Pyinaturalist is an iNaturalist API client for python. Features iNaturalist offers a rich source of biodiversity data, and an extensive API to interact with it. If you want to make use of these data in python, then pyinaturalist can help! It adds a number of python-specific conveniences, including: Requests: Simplified usage with python types and data structures Responses: Type conversions to things you would expect in python Server-Friendly Usage: Client-side rate-limiting that follows the API Recommended Practices Typing: Complete […]

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