- New York, NY
- https://practicalrecs.com/
- @karlhigley
Highlights
- Pro
Starred repositories
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
TenforFlow Implementation of Neural Factorization Machine
Tensorflow implementation of DeepFM for CTR prediction.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .