Uniform Manifold Approximation and Projection
- umap
- dimensionality-reduction
- visualization
- machine-learning
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Uniform Manifold Approximation and Projection
A Flexible and Powerful Parameter Server for large-scale machine learning
Statistical Machine Intelligence & Learning Engine
An industrial deep learning framework for high-dimension sparse data
Learning in infinite dimension with neural operators.
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
Feature selector is a tool for dimensionality reduction of machine learning datasets
The repository host gives no description.
Text Classification Algorithms: A Survey
🏅State-of-the-art learned data structure that enables fast lookup, predecessor, range searches and updates in arrays of billions of items using orders of magnitude less space than traditional indexes
Marvin: A Minimalist GPU-only N-Dimensional ConvNets Framework
Ropedia W0: Scaling Loco-Manipulation World Models across Embodiments with Human Experience
A fast xgboost feature selection algorithm
The V Tensor Library
A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
Bloofi: A java implementation of multidimensional Bloom filters