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FALCONN-LIB/FALCONN: FAst Lookups of Cosine and Other Nearest Neighbors http://falconn-lib.org/
[139 commits @ 3 months - 3 hours ago]
(github.com)
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See also:
Papers:
Practical and Optimal LSH for Angular Distance - Alexandr Andoni, Piotr Indyk, Thijs Laarhoven, Ilya Razenshteyn, Ludwig Schmidt (FALCONN)
(arxiv.org)
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yurymalkov/ann-benchmarks: Benchmarks of approximate nearest neighbor libraries in Python
[104 commits @ 11 months - 24 hours ago]
(github.com)
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DBWangGroupUNSW/nns_benchmark: Benchmark of Nearest Neighbor Search on High Dimensional Data
[191 commits @ 34 days - 38 hours ago]
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See also:
Papers:
Nearest Neighbor Search on High Dimensional Data — Experiments, Analyses, and Improvement
(cse.unsw.edu.au)
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aizvorski/vgg-benchmarks: Simple benchmark of deep learning frameworks on VGG-16
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DL-Benchmarks/DL-Benchmarks: Comparative Study of Deep Learning Software Frameworks
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jonsedar/pymc3_vs_pystan: Personal project to compare hierarchical linear regression in PyMC3 and PyStan
[30 commits @ 23 days - 62 hours ago]
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maheshakya/Performance_evaluations_ANN: This repository contains the implementation of performance evaluations of existing Approximate nearest neighbor search methods.
[15 commits @ 23 months - 23 months ago]
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rllab/rllab: rllab is a framework for developing and evaluating reinforcement learning algorithms.
[8 commits @ 17 hours - 3 hours ago]
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cstefanache/evolutionary-computation: Evolutionary algorithms benchmark
[10 commits @ 41 hours - 23 hours ago]
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DeepMark/deepmark: THE Deep Learning Benchmarks
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glample/rnn-benchmarks: Benchmarks for several RNN variations with different deep-learning frameworks
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erikbern/ann-benchmarks: Benchmarks of approximate nearest neighbor libraries in Python
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pixelogik/ann-benchmarks: Benchmarks of approximate nearest neighbor libraries in Python
[36 commits @ 9 months - 9 months ago]
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szagoruyko/imagenet-validation.torch: Fast and easy testing of imagenet models
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rhiever/sklearn-benchmarks: A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
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syhw/wer_are_we: Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.
[9 commits @ 5 months - 47 days ago]
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soumith/convnet-benchmarks: Easy benchmarking of all public open-source implementations of convnets
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zer0n/deepframeworks: Evaluation of Deep Learning Frameworks
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