Rijul Gupta rijulg

## pytorch_hot_embedding.ipynb

      
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                rijulg
                / pytorch_hot_embedding.ipynb
            
            
              Last active
              July 18, 2020 08:06
            
              
                Pytorch Embedding that supports gradient propagation to inputs
              
          
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## packagify.py
import builtins
import sys

class Packagify:
    """
    Used to load python projects that aren't suitable to be used as packages
    You can use this class as following:

    ```
    from packagify import Packagify

## prune.py
#!/usr/bin/python

import copy
import torch
import numpy as np

torch.manual_seed(0)

class Original(torch.nn.Module):

## apollo.js
import { isNetworkRequestInFlight } from 'apollo-client/core/networkStatus';

/**
 * Hooking into the onBroadcast function to save the inFlight data point in the client state
 */
apolloClient.queryManager.onBroadcast = () => {
  const { queryManager: { queryStore: { store } } } = apolloClient;
  const queries = Object.values(store);
  // if we can find a way to escape early that will be better, but regular for loops don't sit well with eslint
  const inFlight = queries.reduce(

## gamma.html
<!DOCTYPE html>
<html>

<head>
    <meta charset="utf-8">
    <title>HTML5 Canvas Gamma Adjust</title>
    <meta name="og:title" content="HTML5 Canvas Gamma Adjust"/>
    <meta name="author" content="Rijul Gupta">
    <meta name="description" content="An implementation of Gamma filter in HTML5 Canvas"/>
</head>

## example.vhd
-- --------------------------------------------------------------------.
--
-- Example VHDL Component Organization
--
--   Title      :  example
--              :
--   Library    :  work
--              :
--   Developers :  Rijul Gupta (rijulg@gmail.com)
--              :
	import builtins
	import sys

	class Packagify:
	"""
	Used to load python projects that aren't suitable to be used as packages
	You can use this class as following:

	```
	from packagify import Packagify
	#!/usr/bin/python

	import copy
	import torch
	import numpy as np

	torch.manual_seed(0)

	class Original(torch.nn.Module):
	import { isNetworkRequestInFlight } from 'apollo-client/core/networkStatus';

	/**
	* Hooking into the onBroadcast function to save the inFlight data point in the client state
	*/
	apolloClient.queryManager.onBroadcast = () => {
	const { queryManager: { queryStore: { store } } } = apolloClient;
	const queries = Object.values(store);
	// if we can find a way to escape early that will be better, but regular for loops don't sit well with eslint
	const inFlight = queries.reduce(
	<!DOCTYPE html>
	<html>

	<head>
	<meta charset="utf-8">
	<title>HTML5 Canvas Gamma Adjust</title>
	<meta name="og:title" content="HTML5 Canvas Gamma Adjust"/>
	<meta name="author" content="Rijul Gupta">
	<meta name="description" content="An implementation of Gamma filter in HTML5 Canvas"/>
	</head>
	-- --------------------------------------------------------------------.
	--
	-- Example VHDL Component Organization
	--
	-- Title : example
	-- :
	-- Library : work
	-- :
	-- Developers : Rijul Gupta (rijulg@gmail.com)
	-- :