danielcestari's Stars
jamirpradojunior/ETL_pipeline_tick_data_B3
Este código busca exemplificar um pipeline ETL (Extract, Transform, Load) usando Python. Mantive o formato .ipynb (notebook) para facilitar o acompanhamento da rotina por iniciantes. Ele está dividido em três etapas: 1) Extração de múltiplos dados via webscraping; 2) Transformação dos dados; 3) Carregar os dados já estrurados para um database;
kolesarm/539b
(Advanced) Applied Econometrics
biopython/biopython
Official git repository for Biopython (originally converted from CVS)
zotroneneis/machine_learning_basics
Plain python implementations of basic machine learning algorithms
HaoWeiHe/Knowledge-Graph
how to build up Knowledge graph
microsoft/graphrag
A modular graph-based Retrieval-Augmented Generation (RAG) system
MrPio/KAN-Continual_Learning_tests
Collection of tests performed during the study of the new Kolmogorov-Arnold Neural Networks (KAN)
Kanaries/pygwalker
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
mckinsey/vizro
Vizro is a toolkit for creating modular data visualization applications.
michaelhodel/arc-dsl
Domain Specific Language for the Abstraction and Reasoning Corpus
top-quarks/ARC-solution
Code for 1st place solution to Kaggle's Abstraction and Reasoning Challenge
xhluca/bm25s
Fast lexical search library implementing BM25 in Python using Scipy (on average 2x faster than Elasticsearch in single-threaded setting)
FalkorDB/FalkorDB
A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).
assuncaolfi/savvi
savvi is a package for Safe Anytime Valid Inference
Nixtla/mlforecast
Scalable machine 🤖 learning for time series forecasting.
pyt-team/TopoBenchmarkX
TopoBenchmarkX is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning
fchollet/ARC-AGI
The Abstraction and Reasoning Corpus
aryan-jadon/Regression-Loss-Functions-in-Time-Series-Forecasting-Tensorflow
This repository contains the implementation of paper Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting with different loss functions in Tensorflow. We have compared 14 regression loss functions performance on 4 different datasets.
TeoMeWhy/teomerefs
Guia de referências técnicas para carreira em dados
Nixtla/statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
py-econometrics/pyfixest
Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
mfrdixon/ML_Finance_Codes
Machine Learning in Finance: From Theory to Practice Book
2noise/ChatTTS
A generative speech model for daily dialogue.
jeroenjanssens/data-science-at-the-command-line
Data Science at the Command Line
EionRobb/pidgin-pushbullet
A Pushbullet plugin for Pidgin
moraxy/libpurple-feed
A RSS and Atom feed reader plugin for libpurple based messengers like Pidgin, Finch, Adium and others
hoehermann/purple-gowhatsapp
Pidgin/libpurple plugin for WhatsApp Web.
davidgfnet/whatsapp-purple
WhatsApp protocol implementation for libpurple (pidgin)
ars3niy/tdlib-purple
libpurple Telegram plugin using tdlib
EionRobb/tdlib-purple
libpurple Telegram plugin using tdlib