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📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
cuVS - a library for vector search and clustering on the GPU
Docker images for compiling static Rust binaries using musl-cross
2nd place solution for Next Like prediction task
The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX
Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow
A Python memory profiler for data processing and scientific computing applications
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing …
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
🎡 Build Python wheels for all the platforms with minimal configuration.
An experiment on explicit vs implicit feedback recommenders
Benchmarks of approximate nearest neighbor libraries in Python
A library for efficient similarity search and clustering of dense vectors.
Matrix Factorization based recsys in Golang. Because facts are more important than ever
Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
Neural Style Transfer For Chinese Characters
Area-Proportional Euler and Venn Diagrams with Ellipses
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Seamless operability between C++11 and Python