Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
🦜🔗 The platform for reliable agents.
A cryptocurrency trading API with more than 100 exchanges in JavaScript / TypeScript / Python / C# / PHP / Go
🔒 Consolidating and extending hosts files from several well-curated sources. Optionally pick extensions for porn, social media, and other categories.
get things from one computer to another, safely
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
Zipline, a Pythonic Algorithmic Trading Library
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
A powerful coding agent toolkit providing semantic retrieval and editing capabilities (MCP server & other integrations)
The Ethereum Improvement Proposal repository
Universal Radio Hacker: Investigate Wireless Protocols Like A Boss
Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).
Script for downloading Coursera.org videos and naming them.
UltiSnips - The ultimate snippet solution for Vim. Send pull requests to SirVer/ultisnips!
A list of popular github projects related to deep learning
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
Mythril is a symbolic-execution-based securty analysis tool for EVM bytecode. It detects security vulnerabilities in smart contracts built for Ethereum and other EVM-compatible blockchains.
Ethereum Proof-of-Stake Consensus Specifications
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
Machine Learning meets ketosis: how to effectively lose weight
An Algorithmic Trading Library for Crypto-Assets in Python
Rasterio reads and writes geospatial raster datasets
Common financial technical indicators implemented in Pandas.