carloe

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

polars

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

unleashed-firmware

Flipper Zero Unleashed Firmware

ydata-profiling

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

mediamtx

Ready-to-use SRT / WebRTC / RTSP / RTMP / LL-HLS media server and media proxy that allows to read, publish, proxy, record and playback video and audio streams.

statsmodels

Statsmodels: statistical modeling and econometrics in Python

TaskingAI

The open source platform for AI-native application development.

pandas-ta

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators

tf-quant-finance

High-performance TensorFlow library for quantitative finance.

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

terminaltexteffects

TerminalTextEffects (TTE) is a terminal visual effects engine, application, and Python library.

cryptofeed

Cryptocurrency Exchange Websocket Data Feed Handler

blankly

🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.

watchfiles

Simple, modern and fast file watching and code reload in python.

FinQuant

A program for financial portfolio management, analysis and optimisation.

hands-on-train-and-deploy-ml

Train and Deploy an ML REST API to predict crypto prices, in 10 steps

cryptostore

A scalable storage service for cryptocurrency data

matplotlib-stylesheets

Stylesheets for Matplotlib

cookie

Scientific Python Library Development Guide and Cookiecutter

tseries-patterns

trend / momentum and other patterns in financial timeseries

PatchMixer

About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"

fmpsdk

SDK for Financial Modeling Prep's (FMP) API

kraken-wsclient-py

Kraken WebSockets Client in Python

trials

Our codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierarchical reinforcement learning. It includes the code for the proposed method and experimental results on real-world stock data to demonstrate its effectiveness.

py-pkgs-cookiecutter

Cookiecutter template for Python packages

ichimoku-crypto

sample python code to plot ichimoku for crypto

python-cmethods

A collection of bias correction techniques written in Python - for climate sciences.

pydantic-redis

A simple Declarative ORM for Redis using pydantic Models

python-kraken-sdk

Command-line tool and SDK to access the Kraken Cryptocurrency Exchange API (Spot, NFT & Futures, REST and Websocket API)

kraken-sample-ws-api-v2-client