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It is said that, Ilya Sutskever gave John Carmack this reading list of ~ 30 research papers on deep learning.
Transports, Middleware, and Networks for the Alloy project
Official repository for Sui smart contracts used by the Cross-Chain Transfer Protocol
Official repository for Aptos smart contracts used by the Cross-Chain Transfer Protocol
The official Rust SDK for the Model Context Protocol
A crate for making MCP (Model Context Protocol) compatible programs with rust
⚙️🦀 Build modular and scalable LLM Applications in Rust
Python CLI utility and library for manipulating SQLite databases
This Python script takes a file containing Discord invite links as input and checks the validity of each link. Valid links are saved in a "valid_links.txt" file and invalid links are saved in an "i…
A support library for working with zero knowledge cryptography in Lean 4.
Endo is a distributed secure JavaScript sandbox, based on SES
The Scyther Tool for the symbolic analysis of security protocols
Starknet sequencer built with Tendermint Core
CometBFT: A distributed, Byzantine fault-tolerant, deterministic state machine replication engine. A fork and successor to Tendermint Core.
Testing infrastructure for the Celestia Network
Blockifier is a Rust implementation for the transaction-executing component in the StarkNet sequencer, in charge of creating state diffs and blocks.
A research-only integration of Sovereign with Celestia
Docs for Poolshark, a directional automated market maker
CreuSAT - A formally verified SAT solver written in Rust and verified with Creusot.