Nishant Nikhil nishnik
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| name: training_internal | |
| channels: | |
| - rapidsai-nightly | |
| - conda-forge | |
| - defaults | |
| dependencies: | |
| - _libgcc_mutex=0.1=conda_forge | |
| - _openmp_mutex=4.5=1_llvm | |
| - abseil-cpp=20210324.2=h9c3ff4c_0 | |
| - absl-py=1.0.0=pyhd8ed1ab_0 |
nishnik
/ ScreenerCharts.js
Last active
February 8, 2023 08:11
Create charts from the table data in screener.in
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| // ==UserScript== | |
| // @name Screener Charts | |
| // @namespace http://tampermonkey.net/ | |
| // @version 0.1 | |
| // @description Create Charts for Screener | |
| // @author You | |
| // @match https://www.screener.in/company/* | |
| // @icon https://www.google.com/s2/favicons?sz=64&domain=screener.in | |
| // @grant none | |
| // ==/UserScript== |
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| # relu activation function | |
| def relu(x): | |
| return T.switch(x<0, 0, x) | |
| class VAE: | |
| """This class implements the Variational Auto Encoder""" | |
| def __init__(self, continuous, hu_encoder, hu_decoder, n_latent, x_train, b1=0.95, b2=0.999, batch_size=100, learning_rate=0.001, lam=0): | |
| # let us keep the discussion to not continuous |
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