danku

Model Marketplace

An Ethereum-based protocol for peer-to-peer machine learning model exchange and evaluation

Exchange ML models in a trustless manner!

GitHub

148 stars
18 watching
30 forks
Language: Python
last commit: about 8 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
operatorai/modelstoreA library that manages and stores machine learning models379
edtechre/pybrokerA Python framework for developing algorithmic trading strategies using machine learning and data science techniques.2,113
kismuz/btgymA framework for running reinforcement learning experiments in real-world algorithmic trading environments988
pku-yuangroup/moe-llavaA large vision-language model using a mixture-of-experts architecture to improve performance on multi-modal learning tasks2,023
rubykube/peatioAn open-source implementation of a cryptocurrency exchange with a Rails framework and microservices architecture49
dask/dask-mlA Python library for scalable machine learning using Dask alongside popular ML libraries907
tradingstrategy-ai/getting-startedA repository providing examples and tools for developing and backtesting algorithmic trading strategies in Python.76
kkuette/tradzqaiAn environment and framework for training reinforcement learning agents to make trading decisions on cryptocurrency markets.165
crypto-lake/lake-apiProvides a Python API for accessing detailed cryptocurrency market data and order book snapshots from Lake.31
ethereum/researchA collection of research-related code written by Vitalik Buterin and others.1,822
edouardpoitras/nowtradeA Python library for creating and backtesting algorithmic trading strategies using machine learning and technical indicators.104
semiotic-ai/autoagoraAutomates cost modeling and optimization for indexers in blockchain networks using reinforcement learning and GraphQL APIs.11
letianzj/quanttraderA Python-based backtesting and live trading package for quantitative traders.541
amor71/liualgotraderA framework for developing and deploying algorithmic trading strategies using machine learning and multiple data feeds.795
ethereum/testsCommon tests for various Ethereum clients and implementations to verify their correctness567