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| # This file has been auto-generated by i3-config-wizard(1). | |
| # It will not be overwritten, so edit it as you like. | |
| # | |
| # Should you change your keyboard layout somewhen, delete | |
| # this file and re-run i3-config-wizard(1). | |
| # | |
| # i3 config file (v4) | |
| # | |
| # Please see http://i3wm.org/docs/userguide.html for a complete reference! |
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| /server add twitch irc.twitch.tv/6667 -password=oauth:****************************** -username=TWITCHUSERNAME -nicks=TWITCHUSERNAME | |
| /join TWITCHCHANNEL |
JasonTam
/ lightfm_huge_embeds.ipynb
Created
May 10, 2017 16:14
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JasonTam
/ benchmark_sparse_pos_check.ipynb
Last active
June 7, 2017 21:05
sparse neg sampling benchmark
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JasonTam
/ avg_embs.ipynb
Created
September 28, 2017 21:43
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JasonTam
/ parq_vs_avro_msg.ipynb
Last active
October 24, 2017 16:22
Comparison of avro, msgpack, parquet
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JasonTam
/ approx_auc_dist.ipynb
Created
November 1, 2017 15:15
Calculating AUC can take a long-ass time for large number of samples
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JasonTam
/ lightfm_freeze-emb_example.ipynb
Last active
November 7, 2017 20:14
example of how to freeze embeddings in lightfm by exploiting the accumulated gradient in adagrad
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JasonTam
/ binary_search_membership.py
Last active
February 28, 2018 01:20
Most of the time `in` is good enough (even for lists)
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| from bisect import bisect_left | |
| def in_bs(a, x): | |
| i = bisect_left(a, x) | |
| return (i != len(a)) and (a[i] == x) |
JasonTam
/ neg_samp.py
Last active
February 28, 2018 03:37
vectorized negative sampling for sparse positive interactions
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| """ | |
| Pretty efficient way to sample negatives using binary search. | |
| Imagine `pos_inds` are items a user has interacted with, | |
| and we want a vectorized approach to uniformly sample many negative items. | |
| This is better than (in the case where `n_samp` is large) | |
| sampling from the entire catalog and then checking if it's a positive item. | |
| Ahem... negative sampling for sparse interaction matrices. | |
| """ |
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