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Kindly
- Oslo
- www.arashsaidi.com
Stars
prompt2model - Generate Deployable Models from Natural Language Instructions
FacTool: Factuality Detection in Generative AI
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
Material UI: Comprehensive React component library that implements Google's Material Design. Free forever.
Speak to the App and find information
Demo of backend application integration of Kindly
this repository accompanies the book "Grokking Deep Learning"
Full stack, user based, PWA, Vue template.
Starter template for Nuxt 2 with Express.
simple nextjs with redux boilerplate with separation of concerns to get you started
NextJS with express simple API
Markdown based blog using next.js, supporting static export
plugin to support emoji, gemoji, and emoticons
Easy to use and powerful fuzzy string matching, port of fuzzywuzzy.
Wrapper to use syntaxnet with pre-trained model
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
Code for the paper "Adversarially Regularized Autoencoders (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun
Docker image with uWSGI and Nginx for Flask applications in Python running in a single container.
Library for fast text representation and classification.
Pre-trained word vectors of 30+ languages
Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"
an experimental simulation of a mechanical destination board known from Airports
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
A modern and intuitive terminal-based text editor

