Etch's repositories
awesome-federated-learning
Federated learning is a sub-field of machine learning focusing on settings in which multiple entities collaboratively train a model while ensuring that their data remains decentralized.
fluentbase
A framework for building WASM-based ZK apps
modular-svm
Solana SVM, modularized.
TheInterceptor
The Interceptor is a browser extension that explains what kind of Ethereum transactions you are making
hyperlane-monorepo
The home for Hyperlane core contracts, sdk packages, and other infrastructure
cpython
The Python programming language
ethers-rs
Complete Ethereum & Celo library and wallet implementation in Rust. https://docs.rs/ethers
federated
A framework for implementing federated learning
flower
Flower: A Friendly Federated Learning Framework
ggml
Tensor library for machine learning
hyperlane-explorer
Web app for the Hyperlane Explorer
hyperlane-typescript-challenge
https://hyperlanexyz.notion.site/Typescript-Challenge-8eb08b9ae4664b7cb570becda0606825
llama.cpp
LLM inference in C/C++
llm.c
LLM training in simple, raw C/CUDA
mysticeti
Mysticeti: Low-Latency DAG Consensus with Fast Commit Path
NVFlare
NVIDIA Federated Learning Application Runtime Environment
publications
Publications from Trail of Bits
pytensor
PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.
reth
Modular, contributor-friendly and blazing-fast implementation of the Ethereum protocol, in Rust
ruzzy
A coverage-guided fuzzer for pure Ruby code and Ruby C extensions
tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
valkey
A new project to resume development on the formerly open-source Redis project. We're calling it Valkey, since it's a twist on the key-value datastore.
wasi-nn
Neural Network proposal for WASI
yew
Rust / Wasm framework for creating reliable and efficient web applications
zkevm-contracts
Polygon zkEVM Smart Contracts