Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Repository Index
47,133 repositories indexed
1–14 of 14 · Most stars
:zap: A Fast, Extensible Progress Bar for Python and CLI
- progressbar
- progressmeter
- progress-bar
- meter
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
- gbdt
- gbm
- machine-learning
- data-mining
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
Parallel computing with task scheduling
- dask
- python
- pydata
- numpy
NumPy aware dynamic Python compiler using LLVM
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
- pandas
- pandas-dataframe
- parallel-computing
- parallelization
One advanced and mature open-source MPP (Massively Parallel Processing) database. Open source alternative to Greenplum Database.
- database
- data-analysis
- data-warehouse
- olap
GRASS - free and open-source geospatial processing engine
- grass-gis
- geospatial
- geospatial-analysis
- raster
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
- hpc
- workflow
- workflow-automation
- workflow-management
Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory
Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.
- parallel
- data-science
- go-echarts
- data-visualization
Ordered-concurrently a library for concurrent processing with ordered output in Go. Process work concurrently and returns output in a channel in the order of input. It is useful in concurrently processing items in a queue, and get output in the order provided by the queue.
- concurrent
- golang
- golang-library
- data-science
Python3 script that transfers files in Google Colab 10-50x faster, using multi-threaded parallel copying between Google Drive locations.
- colab-notebook
- multithreading
- parallel-computing
- copy