PyTorch Tutorial for Deep Learning Researchers

Go implementation of MEV-Extract for Ethereum

Airflow DAGs for exporting, loading, and parsing the Ethereum blockchain data. What datasets do you want to be added to Ethereum ETL? Vote here: https://blockchain-etl.convas.io.

Rust bindings to the Android NDK

Web3 Foundation General Grants Program

Flash Boys 2; frontrun.me web code, data gathering, and public data.

(PyTorch > 1.0) A Research-Oriented Federated Learning Library. Supporting distributed computing, mobile/IoT on-device training, and standalone simulation

DBA: Averaging for Dynamic Time Warping

Federated Learning Library: https://fedml.ai

List of papers, code and experiments using deep learning for time series forecasting

An Open Source Machine Learning Framework for Everyone

Polkadot Node Implementation

Substrate: The platform for blockchain innovators

A curated list of neural network pruning resources.

DeFi SDK Makes Money Lego Work

ℹ️ Uniswap analytics.

A GraphQL client in Python

The fast, light, and robust client for Ethereum-like networks.

Parse TFLite models (*.tflite) EASILY with Python.

Hummingbot: a client for crypto market making

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

A library for efficient similarity search and clustering of dense vectors.

Sentence Embeddings with BERT & XLNet