MiguelAMM42's Stars
ossu/computer-science
🎓 Path to a free self-taught education in Computer Science!
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
f/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
twitter/the-algorithm
Source code for Twitter's Recommendation Algorithm
streamlit/streamlit
Streamlit — A faster way to build and share data apps.
microsoft/JARVIS
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
marceloprates/prettymaps
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
i18next/react-i18next
Internationalization for react done right. Using the i18next i18n ecosystem.
nat/openplayground
An LLM playground you can run on your laptop
lark-parser/lark
Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
JustAnotherArchivist/snscrape
A social networking service scraper in Python
huggingface/notebooks
Notebooks using the Hugging Face libraries 🤗
mckaywrigley/paul-graham-gpt
Come join the best place on the internet to learn AI skills. Use code "paulgrahamgpt" for an extra 20% off.
chrieke/prettymapp
🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp
react-csv/react-csv
React components to build CSV files on the fly basing on Array/literal object of data
mckaywrigley/wait-but-why-gpt
Come join the best place on the internet to learn AI skills. Use code "waitbutwhygpt" for an extra 20% off.
lannguyen0910/food-recognition
🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation 🍞🍖🍕
manforowicz/Manim-Videos
The code I used to animate mathematical videos.
arquivo/pwa-technologies
Arquivo.pt main goal is the preservation and access of web contents that are no longer available online. During the developing of the PWA IR (information retrieval) system we faced limitations in searching speed, quality of results, scalability and usability. To cope with this, we modified the archive-access project (http://archive-access.sourceforge.net/) to support our web archive IR requirements. Nutchwax, Nutch and Wayback’s code were adapted to meet the requirements. Several optimizations were added, such as simplifications in the way document versions are searched and several bottlenecks were resolved. The PWA search engine is a public service at http://archive.pt and a research platform for web archiving. As it predecessor Nutch, it runs over Hadoop clusters for distributed computing following the map-reduce paradigm. Its major features include fast full-text search, URL search, phrase search, faceted search (date, format, site), and sorting by relevance and date. The PWA search engine is highly scalable and its architecture is flexible enough to enable the deployment of different configurations to respond to the different needs. Currently, it serves an archive collection searchable by full-text with 180 million documents ranging between 1996 and 2010.
Adrien-Luxey/Da-Fonky-Movie-Script-Parser
This Python script parses HTML movie scripts, such as the ones found on imsdb.com.
msramalho/desarquivo
Portuguese web archive for justice, journalism and truth | Arquivo.pt para justiça, jornalismo e verdade
InterruptorPt/ate-onde-chega-cultura
Mapa interativo dos equipamentos culturais em Portugal
InterruptorPt/plano-nacional-leitura
Análise dos livros recomendados pelo Plano Nacional de Leitura 2006-2020
iankonradjohnson/HealthyFoodFinder
Used Data Science techniques to find healthy dishes from TasteAtlas
El-Banderas/ESR
RRua/tds-week3-exercise
BatataDoc3/RPCW2023-Projeto
marado/twtxt2html
a clone/backup of twtxt2html
RRua/tds-week5-exercise