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A reading list for papers on causality for natural language processing (NLP)
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A cog implementation of MosaicML's MPT-7B-StoryWriter-65k+ Large Language Model
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
DeepStyle provides pretrained models aiming to project text in a stylometric space. The base project consists in a new method of representation learning and a definition of writing style based on d…
✍️ An intelligent system that takes a document and classifies different writing styles within the document using stylometric techniques.
Text Tone Detector is a machine learning based application that detects the tone of the message as positive or negative to prevent hate speech.
A collection of notebooks for Natural Language Processing from NLP Town
BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
100+ open-source clones of popular sites like Airbnb, Amazon, Instagram, Netflix, Tiktok, Spotify, Whatsapp, Youtube etc. See source code, demo links, tech stack, github stars.
Monte Carlo simulations of several different multi-armed bandit algorithms and a comparison with classical statistical A/B testing
A tutorial for developers that want to learn about how to build modern applications on top of AWS. You will build a sample website that leverages infrastructure as code, containers, serverless code…
machine learning and deep learning tutorials, articles and other resources
A collection of composable React components for building interactive data visualizations
A modern CSS showcase styled by community contributions. Add your stylesheet!
Build robust Machine Learning application with ease
Reviews for the Journal of Open Source Software
Cut and paste your surroundings using AR
Walk the working directory towards the root recursively
Running Presto queries from the Terminal and saving to a CSV file
Always know what to expect from your data.