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-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
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