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prefect

Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

dataprep

Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.

dask

Parallel computing with task scheduling

toolz

A functional standard library for Python.

curve-contract

Vyper contracts used in Curve.fi exchange pools.

brownie

A Python-based development and testing framework for smart contracts targeting the Ethereum Virtual Machine.

eprover

PySyft

Perform data science on data that remains in someone else's server

nakadi

A distributed event bus that implements a RESTful API abstraction on top of Kafka-like queues

vyper

Pythonic Smart Contract Language for the EVM

ganache-cli-archive

Fast Ethereum RPC client for testing and development. See https://github.com/trufflesuite/ganache for current development.

fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

loguru

Python logging made (stupidly) simple

LightGBM-with-Focal-Loss

An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems

NimData

DataFrame API written in Nim, enabling fast out-of-core data processing

ddd-dynamic

Domain Driven Design in Python, Ruby and other dynamic languages resources

COLA

🥤 COLA: Clean Object-oriented & Layered Architecture

desktop

[Moved to https://github.com/standardnotes/app] A free, open-source, and end-to-end encrypted notes app. https://standardnotes.com

haystack

:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

gpt2-pytorch

Extremely simple and understandable GPT2 implementation with minor tweaks

gpt-2-Pytorch

Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation

tokenizers

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

ConcreteDropout

Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832

Targeted-Dropout

Complementary code for the Targeted Dropout paper

Learning-Rate-Dropout

Pytorch implementation of Learning Rate Dropout.

image-gpt

optuna

A hyperparameter optimization framework

ta

Technical Analysis Library using Pandas and Numpy

go-explore

Code for Go-Explore: a New Approach for Hard-Exploration Problems

mplfinance

Financial Markets Data Visualization using Matplotlib