caionobrega

caionobrega

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data-scientist-handbook

This is a repo with links to everything you'd ever want to learn about data science

Stargazers:680Issues:0Issues:0

ML-Papers-Explained

Explanation to key concepts in ML

Stargazers:7312Issues:0Issues:0

korvus

Korvus is a search SDK that unifies the entire RAG pipeline in a single database query. Built on top of Postgres with bindings for Python, JavaScript, Rust and C.

Language:RustLicense:MITStargazers:1269Issues:0Issues:0

elia

A snappy, keyboard-centric terminal user interface for interacting with large language models. Chat with ChatGPT, Claude, Llama 3, Phi 3, Mistral, Gemma and more.

Language:PythonLicense:Apache-2.0Stargazers:1852Issues:0Issues:0

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:38998Issues:0Issues:0

daam

Diffusion attentive attribution maps for interpreting Stable Diffusion.

Language:Jupyter NotebookLicense:MITStargazers:689Issues:0Issues:0

python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

Language:Jupyter NotebookLicense:MITStargazers:2750Issues:0Issues:0

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

License:MITStargazers:27319Issues:0Issues:0

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.

Language:PythonLicense:NOASSERTIONStargazers:168296Issues:0Issues:0

Java

All Algorithms implemented in Java

Language:JavaLicense:MITStargazers:60072Issues:0Issues:0

reclist

Behavioral "black-box" testing for recommender systems

Language:PythonLicense:MITStargazers:458Issues:0Issues:0

system-design

Learn how to design systems at scale and prepare for system design interviews

License:NOASSERTIONStargazers:32800Issues:0Issues:0

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Language:PythonLicense:NOASSERTIONStargazers:275287Issues:0Issues:0

guiadevbrasil

Um guia extenso de informações com um vasto conteúdo de várias áreas para ajudar, agregar conhecimento e retirar dúvidas, nesse guia você encontrará tudo que necessário para qualquer carreira relacionada a tecnologia.

License:MITStargazers:14191Issues:0Issues:0

s2search

The Semantic Scholar Search Reranker

Language:PythonLicense:Apache-2.0Stargazers:100Issues:0Issues:0

trabalhando-remoto

Informações para quem trabalha ou quer trabalhar remoto

Stargazers:2781Issues:0Issues:0

AutoML-Tutorial

Tutorials about AutoML

Stargazers:84Issues:0Issues:0

nlp-recipes

Natural Language Processing Best Practices & Examples

Language:PythonLicense:MITStargazers:6376Issues:0Issues:0

ml-engineer-roadmap

WIP: Roadmap to becoming a machine learning engineer in 2020

Stargazers:2114Issues:0Issues:0
License:MITStargazers:565Issues:0Issues:0

list_of_recommender_systems

A List of Recommender Systems and Resources

Stargazers:4598Issues:0Issues:0

maza-ad-blocking

Simple, native and efficient local ad blocker. Only Bash.

Language:ShellLicense:Apache-2.0Stargazers:1794Issues:0Issues:0

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

Language:MarkdownStargazers:308022Issues:0Issues:0

machine-learning-systems-design

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

Language:HTMLStargazers:9153Issues:0Issues:0

awesome-data-labeling

A curated list of awesome data labeling tools

Stargazers:3790Issues:0Issues:0

Data-Analysis

Data Science Using Python

Language:Jupyter NotebookLicense:MITStargazers:5212Issues:0Issues:0

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

Stargazers:4257Issues:0Issues:0

RecoTour

A tour through recommendation algorithms in python [IN PROGRESS]

Language:Jupyter NotebookStargazers:176Issues:0Issues:0

desafio-eng-de-dados

Desafio para Engenheiro(a) de Dados - VAGAS.com

Stargazers:24Issues:0Issues:0

NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Language:PythonLicense:MITStargazers:22709Issues:0Issues:0