Daniel Cestari (danielcestari)

danielcestari

Geek Repo

Location:São Carlos, Brazil

Github PK Tool:Github PK Tool

Daniel Cestari's starred repositories

ChatTTS

A generative speech model for daily dialogue.

Language:PythonLicense:AGPL-3.0Stargazers:28104Issues:167Issues:406

graphrag

A modular graph-based Retrieval-Augmented Generation (RAG) system

Language:PythonLicense:MITStargazers:12571Issues:77Issues:241

pygwalker

PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

Language:PythonLicense:Apache-2.0Stargazers:10784Issues:66Issues:188

machine_learning_basics

Plain python implementations of basic machine learning algorithms

Language:Jupyter NotebookLicense:MITStargazers:4249Issues:164Issues:10

biopython

Official git repository for Biopython (originally converted from CVS)

Language:PythonLicense:NOASSERTIONStargazers:4246Issues:168Issues:1671

statsforecast

Lightning ⚡️ fast forecasting with statistical and econometric models.

Language:PythonLicense:Apache-2.0Stargazers:3752Issues:38Issues:316

data-science-at-the-command-line

Data Science at the Command Line

Language:HTMLLicense:NOASSERTIONStargazers:3740Issues:210Issues:93

ARC-AGI

The Abstraction and Reasoning Corpus

Language:JavaScriptLicense:Apache-2.0Stargazers:3116Issues:95Issues:60

vizro

Vizro is a toolkit for creating modular data visualization applications.

Language:PythonLicense:Apache-2.0Stargazers:2486Issues:18Issues:105

ML_Finance_Codes

Machine Learning in Finance: From Theory to Practice Book

Language:Jupyter NotebookStargazers:1570Issues:58Issues:8

teomerefs

Guia de referências técnicas para carreira em dados

whatsapp-purple

WhatsApp protocol implementation for libpurple (pidgin)

mlforecast

Scalable machine 🤖 learning for time series forecasting.

Language:PythonLicense:Apache-2.0Stargazers:812Issues:14Issues:128

bm25s

Fast lexical search library implementing BM25 in Python using Scipy (on average 2x faster than Elasticsearch in single-threaded setting)

Language:PythonLicense:MITStargazers:660Issues:4Issues:14

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).

Language:CLicense:NOASSERTIONStargazers:527Issues:15Issues:472

purple-gowhatsapp

Pidgin/libpurple plugin for WhatsApp Web.

Language:CLicense:GPL-3.0Stargazers:277Issues:19Issues:180

539b

(Advanced) Applied Econometrics

tdlib-purple

libpurple Telegram plugin using tdlib

Language:C++License:NOASSERTIONStargazers:147Issues:19Issues:153

pyfixest

Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax

Language:PythonLicense:MITStargazers:121Issues:6Issues:273

ARC-solution

Code for 1st place solution to Kaggle's Abstraction and Reasoning Challenge

Language:C++License:MITStargazers:112Issues:5Issues:1

arc-dsl

Domain Specific Language for the Abstraction and Reasoning Corpus

Language:PythonLicense:MITStargazers:111Issues:9Issues:2

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.

Language:PythonStargazers:73Issues:4Issues:0

TopoBenchmarkX

TopoBenchmarkX is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning

Language:PythonLicense:MITStargazers:56Issues:7Issues:41

pidgin-pushbullet

A Pushbullet plugin for Pidgin

Language:CLicense:GPL-3.0Stargazers:42Issues:15Issues:25

KAN-Continual_Learning_tests

Collection of tests performed during the study of the new Kolmogorov-Arnold Neural Networks (KAN)

Language:Jupyter NotebookStargazers:21Issues:0Issues:0

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;

Language:Jupyter NotebookStargazers:14Issues:0Issues:0

savvi

savvi is a package for Safe Anytime Valid Inference

Language:PythonLicense:MITStargazers:10Issues:1Issues:0

Knowledge-Graph

how to build up Knowledge graph

Language:PythonLicense:GPL-3.0Stargazers:10Issues:2Issues:1

libpurple-feed

A RSS and Atom feed reader plugin for libpurple based messengers like Pidgin, Finch, Adium and others

Language:CLicense:GPL-2.0Stargazers:9Issues:0Issues:0

tdlib-purple

libpurple Telegram plugin using tdlib

Language:C++License:NOASSERTIONStargazers:3Issues:3Issues:0