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

Neovim support for the Lean theorem prover

Linear algebra foundation for the Rust programming language

Mamba SSM architecture

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Implementation of "Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn"

Meta-Album meta-dataset for few-shot image classification

An easy-to-use framework to turn any neural network definition in PyTorch into a Bayesian neural network.

A benchmarking framework for meta-learning using the channel coding tasks

Vox language compiler. AOT / JIT / Linker. Zero dependencies

NeurIPS 2021 - Few-shot learning competition

Interoperability between Python and D

Dotfiles for my personal linux setup

🌊 Online machine learning in Python

WEFE: The Word Embeddings Fairness Evaluation Framework. WEFE is a framework that standardizes the bias measurement and mitigation in Word Embeddings models. Please feel welcome to open an issue in…

SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks

Feature-Critic Networks for Heterogeneous Domain Generalisation

No longer updated mirror of the Weka 3.8 branch.

MOA Notebooks

VimTeX: A modern Vim and neovim filetype plugin for LaTeX files.

An adversarial example library for constructing attacks, building defenses, and benchmarking both

Acceptance rates for the major AI conferences

A small tool to auto generate dlang impls for intel intrinsics

Unofficial OpenCV binding for D programming language