- London, United Kingdom
- https://grtheod.github.io/
Stars
Tensors and Dynamic neural networks in Python with strong GPU acceleration
scikit-learn: machine learning in Python
Graph Neural Network Library for PyTorch
Modin: Scale your Pandas workflows by changing a single line of code
Representation learning on large graphs using stochastic graph convolutions.
Generate embeddings from large-scale graph-structured data.
🔥 Blazing fast bulk data transfers between any cloud 🔥
Reinforcement learning environments for compiler and program optimization tasks
Zabbix template for collecting IO statistics
Set of Machine Learning and Stochastic Optimazion tools based on Hadoop, Spark and Storm https://pkghosh.wordpress.com/
Synthesize CRDTs from classic data types with verified lifting!
A place in which we publish scripts for reproducible benchmarks.
rmoff / gess
Forked from mapr-demos/gessA generator for synthetic streams of financial transactions.
stephanie-wang / ray
Forked from ray-project/rayAn experimental distributed execution engine