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autoagora-agents

autoagora-indexer-service

cuda-gpupick

Automatically pick unused CUDA devices for your application, in a topology-aware fashion.

dco-check

Simple DCO check script to be used in any CI

distributed-evolutionary-ml

A tool for experimenting with evolutionary optimization methods for machine learning algorithms, by distributing the workload over a large number of compute nodes on the IBM Cloud. For now, it only includes an implementation of [Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning](https://arxiv.org/abs/1712.06567).

docs

erigon-aio-container

Run `erigon` and `rpcdaemon` in the same container

fcos-zfs

Fedora CoreOS image with ZFS

graph-network-subgraph

The subgraph, the smart contracts, the tests, and documents for the Graph Explorer Decentralized Application

graph-node

Graph Node indexes data from blockchains such as Ethereum and serves it over GraphQL

graphprotocol-poi-checker

Python script to check POI across multi indexers for defined subgraph

indexer

Graph Protocol indexer components and infrastructure

indexer-rs

launchpad-charts

Helm Charts for deploying Web3 applications into Kubernetes

launchpad-namespaces

Preconfigured Kubernetes Namespaces using Helmfile

layering-examples

mi-prometheus

MI-Prometheus (Machine Intelligence – Prometheus), an open-source framework built on top of PyTorch, enabling rapid development and comparison of diverse neural network-based models. In MI-Prometheus training and testing mechanisms are no longer pinned to a specific model or problem, whereas build-in mechanisms for configuration management and handshaking of data definitions facilitate running experiments combining different models with problems.

napoleon

nemo

NeMo: a toolkit for conversational AI

poifier_client

Graphprotocol POIfier client

pyallocopt

A python wrapper for AllocationOpt.jl

python-semantic-release

Automatic semantic versioning for python projects

pytorchpipe

PyTorchPipe (PTP) is a component-oriented framework for rapid prototyping and training of computational pipelines combining vision and language

sphinx-example

A mini-tutorial / cheatsheet / link-collection to get you started documenting Python code using Sphinx.

sysbox

An open-source, next-generation "runc" that empowers rootless containers to run workloads such as Systemd, Docker, Kubernetes, just like VMs.

timeline-aggregation-protocol

A fast, efficient and trustless unidirectional micro-payments system.

timeline-aggregation-protocol-contracts

Smart contracts for timeline aggregation protocol

timeline-aggregation-protocol-subgraph

torch_truncnorm

Truncated Normal Distribution in PyTorch

traefik-api-key-middleware

Traefik plugin to protect routes with API keys