Stars
Kubernetes-native platform to run massively parallel data/streaming jobs
A feature complete and high performance multi-group Raft library in Go.
ACL2020 Tutorial: Open-Domain Question Answering
The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
Secure and fast microVMs for serverless computing.
A library that provides an embeddable, persistent key-value store for fast storage.
Curating a list of AutoML-related research, tools, projects and other resources
Must-read papers on graph neural networks (GNN)
This repository stores slides for a tutorial on variational inference for NLP audiences.
A high performance and generic framework for distributed DNN training
Diem’s mission is to build a trusted and innovative financial network that empowers people and businesses around the world.
A Graph-Based Framework for Information Extraction
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
links to conference publications in graph-based deep learning
Generate embeddings from large-scale graph-structured data.
Semi-supervised learning with graph embeddings
Implementation of Graph Convolutional Networks in TensorFlow
Graph Neural Network Library for PyTorch
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.