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addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

adjointjvm

adjoint ramp metering code and coordination, sure

curator

Curator: Tending your Elasticsearch indices

dds

Double Dummy Solver written in C++ for the Bridge Card Game

dotfiles

dta-pc

Simulator and optimizer of the Dynamic Traffic Assignment with Partial Compliance

dta-simulator

Simulator of the Dynamic Traffic Assignment for the case of N parallel roads composed of multiple cells

elasticsearch-metrics-tools

Generate metrics and inject them in elasticsearch for testing Grafana using es

fizzim

Finite State Machine design tool

grafana

Gorgeous metric viz, dashboards & editors for Graphite, InfluxDB & OpenTSDB

io

Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

kafka

Mirror of Apache Kafka

markup

The code we use to render README.your_favorite_markup

nanobind

nanobind — Seamless operability between C++17 and Python

open_spiel-1

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

perso

Some random personal code

project_acpc_server

A repository around the Annual Computer Poker Competition server, for https://github.com/deepmind/open_spiel

pybind11

Seamless operability between C++11 and Python

pybind11_abseil

Pybind11 bindings for the Abseil C++ Common Libraries

pybind11_bazel

Bazel wrapper around the pybind11 repository

pybind11_benchmarks

Polished benchmarks for pybind11 and nanobind, inspired by the nanobind benchmarks

pymol-tunnels-cavities-finder

quantum

Hybrid Quantum-Classical Machine Learning in TensorFlow

rauzy-language

report-methodb

reverb

Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research

statemachinemodelization

tcollector

Data collection framework for OpenTSDB

torch-dokx

Scripts to help with Torch package documentation