afcarl Goto Github PK
Name: Andrew Carl
Type: User
Bio: "GitHub AI Brain-of-Brains": https://2strikehitter.com/AI_BrainofBrains.html
Location: Las Vegas, Nevada, USA
Blog: https://afcarl.github.io
Name: Andrew Carl
Type: User
Bio: "GitHub AI Brain-of-Brains": https://2strikehitter.com/AI_BrainofBrains.html
Location: Las Vegas, Nevada, USA
Blog: https://afcarl.github.io
Data loaders and abstractions for text and NLP
Deploy sentiment analysis using Flask
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
Implementation of papers for text classification task on DBpedia
An example on how to train supervised classifiers for multi-label text classification using sklearn pipelines
Offline and online (i.e., real-time) annotated clustering methods for text data.
text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network
Testing out various machine learning models for generative text capabilities.
Text generation experiments using PyTorch
Text Summarization with Gensim
Understand Text Summarization and create your own summarizer in python
Generative Adversarial Text to Image Synthesis / Please Star -->
Improved Training of Wasserstein GANs for Text Generation
Framework and model code for the paper "Language Understanding for Text-based Games using Deep Reinforcement Learning", EMNLP 2015
Generating Images from Captions with Attention
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
NLP, before and after spaCy
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
:zap: Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.
Text Classification CNN RNN
Improving text generation with adversarial objectives
A generative adversarial network for text generation, written in TensorFlow.
a text generator written in python. Because I can't find any good ones.
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
Tools for word and document embedding using UMAP
Python implementation of TextRank algorithm (https://web.eecs.umich.edu/~mihalcea/papers/mihalcea.emnlp04.pdf) for automatic keyword extraction and summarization using Levenshtein distance as relation between text units.
assorted text data
Scramble texts, as in http://www.snopes.com/language/apocryph/cambridge.asp
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.