Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).

The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

Multi-platform high-performance compute language extension for Rust.

A cross-platform, safe, pure-Rust graphics API.

An extremely fast Python package and project manager, written in Rust.

A new markup-based typesetting system that is powerful and easy to learn.

Visualize streams of multimodal data. Fast, easy to use, and simple to integrate. Built in Rust using egui.

A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.

A new type of shell

Benchmark datasets, data loaders, and evaluators for graph machine learning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

Graph Neural Network Library for PyTorch

An extremely fast Python linter and code formatter, written in Rust.

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

Package management made easy