Collection of simple machine learning algorithms for Torch
仓库
Atcold 的仓库
(55 stars) (16 forks) (0 个已索引 issue) (0 个开放 good first issue)
This would be a collection of useful routines and function currently missing in Torch7
(10 stars) (3 forks) (0 个已索引 issue) (0 个开放 good first issue)
TripletLoss used in Google's FaceNet paper
(162 stars) (54 forks) (0 个已索引 issue) (0 个开放 good first issue)
Light your way in Deep Learning with Torch 🔦
(604 stars) (94 forks) (0 个已索引 issue) (0 个开放 good first issue)
A simple module for <Torch7> and the <nn> package
(18 stars) (7 forks) (0 个已索引 issue) (0 个开放 good first issue)
Brings some colour to the boring `nn` package of Torch.
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Torch's web page.
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Torch on steroids
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A loss function based on the distances between anchor, positive and negative embeddings used in FaceNet
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Atcold/unicodeitPython
Converts LaTeX tags to unicode: \mathcal{H} → ℋ. Available on the web or as Automator script for the Mac.
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The official Vim repository
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Some working examples for JS, CSS, and HTML
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