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ansible-role-pyenv

Ansible Role - pyenv

arima

ARIMA modelling for Rust

arrow

Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing

beam

Apache Beam is a unified programming model for Batch and Streaming

client

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

dreamboothonray

Fine tune dream booth model using Ray AIR

flaml

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

gcsfs

Pythonic file-system interface for Google Cloud Storage

gym

A toolkit for developing and comparing reinforcement learning algorithms.

lightgbm_ray

LightGBM on Ray

m2r

Markdown and reST in a single file

modin

Modin: Speed up your Pandas workflows by changing a single line of code

openssh

Scriptable SSH through OpenSSH in Rust

prometheus-cpp

Prometheus Client Library for Modern C++

pttutorialtest

PT Tutorial Experiments Project

py-spy

Sampling profiler for Python programs

pytorch-lightning

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

ray-ecosystem-dev

ray-packages-feedstock

A conda-smithy repository for ray-packages.

ray_lightning

Pytorch Lightning Distributed Accelerators using Ray

ray_shuffling_data_loader

A Ray-based data loader with per-epoch shuffling and configurable pipelining, for shuffling and loading training data for distributed training of machine learning models.

rl-benchmark

Reinforcement learning benchmarking.

spacy-ray

☄️ Parallel and distributed training with spaCy and Ray

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

travis-tracker-v2

tune-sklearn

A scikit-learn API on RayTune

tutorial

tutorials

PyTorch tutorials.

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow