jmacglashan
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A new markup-based typesetting system that is powerful and easy to learn.
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
Serde serializable and deserializable trait objects
A cross-platform GUI library for Rust, inspired by Elm
RLMeta is a light-weight flexible framework for Distributed Reinforcement Learning Research.
ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
A space to discuss the future of the ML ecosystem in Rust.
Enzyme integration into Rust. Experimental, do not use.
Python library to decorate and beautify strings
An offline deep reinforcement learning library
[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.
A tiny JavaScript library for calculating sun/moon positions and phases.
Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research
A technical report on convolution arithmetic in the context of deep learning
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
Continuous forklift domain for BURLAP 3
Module that adds support for serialization/deserialization of Kotlin (http://kotlinlang.org) classes and data classes.