About this
About this
About this
Tyler Renelle lefnire
lefnire
/ releaseTest.md
Last active
September 17, 2020 04:54
— forked from paperspace-ops/releaseTest.md
lefnire
/ releaseTest.md
Created
September 17, 2020 04:54
— forked from paperspace-ops/releaseTest.md
lefnire
/ bert_dist_cluster.py
Last active
September 16, 2022 13:27
BERT embeddings similarity & clustering
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import math | |
| import torch | |
| from sklearn.cluster import AgglomerativeClustering | |
| from sentence_transformers import SentenceTransformer | |
| def normalize(x): | |
| """ | |
| Need this method for cosine(), because otherwise we're dealing with dot-product on non-normalized data (which isn't cosine). | |
| BERT embeddings typically range [-7 7], so this is needed. |
lefnire
/ generate_example_data.py.out
Created
October 18, 2019 21:33
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Generating example data... | |
| [0.223 0. 0. 0. 0. 0.196 0. 0. 0. 0. 0.225 0. | |
| 0. 0. 0. 0.17 0. 0. 0. 0. 0.186 0. 0. 0. | |
| 0. ] | |
| [0.223 0. 0. 0. 0. 0.196 0. 0. 0. 0. 0.225 0. | |
| 0. 0. 0. 0.17 0. 0. 0. 0. 0.186 0. 0. 0. | |
| 0. ] | |
| [0.223 0. 0. 0. 0. 0.196 0. 0. 0. 0. 0.225 0. | |
| 0. 0. 0. 0.17 0. 0. 0. 0. 0.186 0. 0. 0. | |
| 0. ] |
lefnire
/ null_cols.py
Created
June 11, 2018 01:06
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| df = pd.read_csv( | |
| data_path('Model_Update_Data_April_2018.txt'), | |
| sep='\t', | |
| true_values=['Y', 'True', 'TRUE'], | |
| false_values=['N', 'False', 'FALSE'], | |
| na_values=['?', 'U', 'Unknown'] | |
| ) | |
| na_cols = df.columns[df.isna().any()] | |
| print(na_cols) | |
| """ |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import {Home} from './Home.js'; | |
| import React from 'react'; | |
| class App extends React.Component { | |
| render() { | |
| return ( | |
| <div className="container container-fluid"> | |
| <!-- maybe some menu / header stuff here. Anything that's shared b/w all your pages --> | |
| <Home /> | |
| </div> |
lefnire
/ gist:948c854a2bf891cd4f2c6b31a365c0af
Created
December 5, 2017 04:15
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| baseline_optimizer.optimizer.learning_rate: 0.1127 | |
| net.activation_tanh: 0.0854 | |
| baseline_optimizer.num_steps: 0.0569 | |
| entropy_regularization: 0.0549 | |
| source_kaggle2: 0.0499 | |
| net.depth: 0.0461 | |
| net.l1: 0.0456 | |
| net.width: 0.0428 | |
| discount: 0.0397 | |
| net.dropout: 0.0375 |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| 2017-10-06 19:57:20.025172: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations. | |
| 2017-10-06 19:57:20.025184: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations. | |
| 2017-10-06 19:57:20.025186: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations. | |
| 2017-10-06 19:57:20.025188: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations. | |
| 2017-10-06 19:57:20.025189: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA ins |
lefnire
/ gist:1b3d9c99a6a417dfb88e08a1478de5c0
Created
August 10, 2017 01:07
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| (tensorflow1) lefnire@lefnire-ubuntu:~/Sites/btc/github/Multidimensional-LSTM-BitCoin-Time-Series$ python run.py | |
| Using TensorFlow backend. | |
| I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcublas.so.8.0 locally | |
| I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CU |
lefnire
/ gist:1521fdd1c8169b8c0853fa25c88a5046
Created
August 10, 2017 00:49
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| backports.weakref==1.0rc1 | |
| bleach==1.5.0 | |
| cycler==0.10.0 | |
| funcsigs==1.0.2 | |
| functools32==3.2.3.post2 | |
| h5py==2.7.0 | |
| html5lib==0.9999999 | |
| Keras==2.0.6 | |
| Markdown==2.6.8 | |
| matplotlib==2.0.2 |
NewerOlder