tpvasconcelos

kiwix-apple

Kiwix for iOS & macOS

CheatSheetSeries

The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.

direnv

unclutter your .profile

hamilton

Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.

free-proxy

Free proxy scraper written in python. It is pypi library - free to use.

docformatter

Formats docstrings to follow PEP 257

awesome-forecast-reconciliation

Collection of academic papers, articles, software tools, and educational resources about forecast reconciliation

skfolio

Python library for portfolio optimization built on top of scikit-learn

borg

Deduplicating archiver with compression and authenticated encryption.

CausalPy

A Python package for causal inference in quasi-experimental settings

slyp

Stephen Lints Your Python

git-fire

:fire: Save Your Code in an Emergency

llm-numbers

Numbers every LLM developer should know

coolify

An open-source & self-hostable Heroku / Netlify / Vercel alternative.

jellyfin

The Free Software Media System

tsbootstrap

tsbootstrap: generate bootstrapped time series samples in Python

fable

Tidy time series forecasting

M6-methods

Data, Benchmarks, and methods submitted to the M6 forecasting competition

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

chronos-forecasting

Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

forecast

Forecasting Functions for Time Series and Linear Models

HyperTS

A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.

seglearn

Python module for machine learning time series:

utilsforecast

datasetsforecast

Datasets for time series forecasting

coreforecast

Fast implementations of common forecasting routines

transfer-learning-time-series

Transfer 🤗 Learning for Time Series Forecasting

LTSF-Linear

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

ETSformer

PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

DeepTime

PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)