sparse
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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 high performance applications.
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Jun 28, 2024 - Cuda
Efficient matrix representations for working with tabular data
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Jun 28, 2024 - Python
cuVS - a library for vector search and clustering on the GPU
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Jun 28, 2024 - Cuda
Easily create and optimize PyTorch networks as in the Deep Rewiring paper (https://igi-web.tugraz.at/PDF/241.pdf). Install using 'pip install deep_rewire'
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Jun 27, 2024 - Python
The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.
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Jun 26, 2024 - Python
A cool place to store your Hi-C
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Jun 24, 2024 - Python
Genie: Fast and Robust Hierarchical Clustering with Noise Point Detection - in Python and R
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Jun 18, 2024 - C++
Sparse Matrix Library for GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI
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Jun 18, 2024 - Rust
Code for BMVC'23: "Sparse and Privacy-enhanced Representation for Human Pose Estimation"
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Jun 15, 2024 - Python
Perform a Bayesian estimation of the exploratory Sparse Latent Class Model for Binary Data described by Chen, Y., Culpepper, S. A., and Liang, F. (2020) <https://doi.org/10.1007/s11336-019-09693-2>
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Jun 14, 2024 - C++
A Julia interface to the C++ library ColPack for graph and sparse matrix coloring.
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Jun 12, 2024 - Julia
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