rjagerman

pyenv

Simple Python version management

jax

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

bazel

a fast, scalable, multi-language and extensible build system

numba

NumPy aware dynamic Python compiler using LLVM

aeron

Efficient reliable UDP unicast, UDP multicast, and IPC message transport

chainer

A flexible framework of neural networks for deep learning

flax

Flax is a neural network library for JAX that is designed for flexibility.

joblib

Computing with Python functions.

dm-haiku

JAX-based neural network library

equinox

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

llvmlite

A lightweight LLVM python binding for writing JIT compilers

tensorstore

Library for reading and writing large multi-dimensional arrays.

chainerrl

ChainerRL is a deep reinforcement learning library built on top of Chainer.

BIDMach

CPU and GPU-accelerated Machine Learning Library

awesome-offline-rl

An index of algorithms for offline reinforcement learning (offline-rl)

zr-obp

Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation

awesome-generative-information-retrieval

ptranking

Learning to Rank in PyTorch

rax

Rax is a Learning-to-Rank library written in JAX.

ir_datasets

Provides a common interface to many IR ranking datasets.

PyClick

pytrec_eval

pytrec_eval is an Information Retrieval evaluation tool for Python, based on the popular trec_eval.

orbax

Orbax provides common utility libraries for JAX users.

oryx

Oryx is a library for probabilistic programming and deep learning built on top of Jax.

auction-gym

AuctionGym is a simulation environment that enables reproducible evaluation of bandit and reinforcement learning methods for online advertising auctions.

python-irodsclient

A Python API for iRODS

cuNVSM

Neural Vector Space Models

dual-bandit-kdd-2020

Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.

asymmetric-tri-rec-real

(SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’

ml-interspeech2022-phi_rtn

Repository accompanying the Interspeech 2022 publication titled "Space-Efficient Representation of Entity-centric Query Language Models" by Van Gysel et al.