#
Starred repositories
PyTorch implementation of the paper "Hyperbolic Interaction Model For Hierarchical Multi-Label Classification"
A PyTorch library for hyperbolic deep learning. HypTorch provides hyperbolic neural network layers, optimizers, and utilities for building deep learning models in hyperbolic space, with a focus on …
PyTorch implementations of several news recommendation methods, created for my MSc thesis in Artificial Intelligence at University of Amsterdam.
Experimental one-shot benchmarking/profiling harness for Rust
SIMD Floating point and integer compressed vector library
Half-precision floating point types f16 and bf16 for Rust.
Feathr – A scalable, unified data and AI engineering platform for enterprise
Real-time microphone noise suppression on Linux.
A comprehensive collection of recent papers on graph deep learning
Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation
Deep Recommenders with Python: A Python library for building Deep Learning based Recommender Systems
A small and lightweight POSIX script for using a custom fan curve in Linux for those with an Nvidia GPU.
[unmaintained] Scala wrapper for Apache TinkerPop 3 Graph DSL
Apache TinkerPop - a graph computing framework
Python package built to ease deep learning on graph, on top of existing DL frameworks.
rectorch is a pytorch-based framework for state-of-the-art top-N recommendation
WARP loss for Pytorch as described by the paper: WSABIE: Scaling Up To Large Vocabulary Image Annotation
TFHE: Fast Fully Homomorphic Encryption Library over the Torus
JavaScript library for building web-based applications that employ secure multi-party computation (MPC).
Full-featured Socket.IO Client Library for Java, which is compatible with Socket.IO v1.0 and later.
Perform data science on data that remains in someone else's server
Best Practices on Recommendation Systems