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Distributed stream processing engine in Rust
Zenith - sort of like top or htop but with zoom-able charts, CPU, GPU, network, and disk usage
Provides utility functions to perform a graceful shutdown on tokio-rs based services
An embedded vector database designed to run on edge devices. Lightweight and fast with HNSW indexing algorithm.
A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
The Tensor Algebra SuperOptimizer for Deep Learning
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Fast and Adaptive Distributed Machine Learning for TensorFlow, PyTorch and MindSpore.
High-performance runtime for data analytics applications
This is a demo for training GATs on giant graphs with dgl nodeflow.
Efficient GPU kernels for block-sparse matrix multiplication and convolution
Transformer training code for sequential tasks
Source code for the split annotations project.
An implementation of a deep learning recommendation model (DLRM)
A high performance and generic framework for distributed DNN training
A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
Simple baselines for "Learned Indexes"
Parsing, analyzing, and comparing source code across many languages
A distributed, fast open-source graph database featuring horizontal scalability and high availability
a language for fast, portable data-parallel computation
Weekly reading group on Graphs at Mila
"Multi-Level Intermediate Representation" Compiler Infrastructure