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lmcinnes/umap

UMAP is a dimension reduction library that can be used for visualization, exploration, and analysis of high-dimensional datasets.

8.1K
Active
Python
Dimensionality Reduction
ML Ops
Python
#dimensionality-reduction#machine-learning#topological-data-analysis

Angel-ML/angel

A flexible and powerful parameter server for large-scale machine learning models and distributed training.

6.8K
Stable
Java
ML Ops
API Frameworks
Scala
#machine-learning#distributed-training#parameter-server

NVIDIA/MinkowskiEngine

A high-performance, auto-diff neural network library for 3D and 4D sparse tensor computations.

2.9K
Archived
Python
Computer Vision
ML Ops
PyTorch
#3d-convolutional-network#4d-convolutional-neural-network#sparse-tensor-network

facebookresearch/hiplot

HiPlot is a TypeScript library that makes understanding high-dimensional data easy for developers.

2.8K
Archived
TypeScript
Data Visualization
React
#data-visualization#high-dimensional#interactive

ContextLab/hypertools

A Python toolbox for gaining geometric insights into high-dimensional data, useful for vibe coders working with AI tools.

1.9K
Active
Python
Data Visualization
Data Wrangling
Python
#data-visualization#data-wrangling#high-dimensional-data

vdaas/vald

A highly scalable distributed vector search engine for high-dimensional data and AI applications.

1.7K
Active
Go
Vector Databases
API Frameworks
Go
#distributed-systems#high-dimensional-data#high-performance

yahoojapan/NGT

Nearest neighbor search library for high-dimensional data, useful for AI/ML applications.

1.4K
Active
C++
Inference
API Frameworks
#approximate-nearest-neighbor-search#k-nearest-neighbors#knn-search

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