Stars
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
🤖 A Python library for learning and evaluating knowledge graph embeddings
LibKGE - A knowledge graph embedding library for reproducible research
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
Generate embeddings from large-scale graph-structured data.
Apache Jena, A free and open source Java framework for building Semantic Web and Linked Data applications.
Large scale graph learning on a single machine.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Python package built to ease deep learning on graph, on top of existing DL frameworks.
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
Fast and Adaptive Distributed Machine Learning for TensorFlow, PyTorch and MindSpore.
Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.
Training and serving large-scale neural networks with auto parallelization.
Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020
cluster data collected from production clusters in Alibaba for cluster management research
GPU-scheduler-for-deep-learning
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.
Apache ORC - the smallest, fastest columnar storage for Hadoop workloads