Aman Arora amaarora

## eda.ipynb

      
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                amaarora
                / eda.ipynb
            
            
              Created
              July 2, 2023 22:31
            
          
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## gist:557f752737d80a89ac6370dd47947230
{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "abstract-destruction",
   "metadata": {},
   "source": [
    "# Exploratory Data Analysis (EDA) on Property Sales Dataset\n",
    "\n",
    "This Jupyter notebook presents an exploratory data analysis (EDA) of a property sales dataset. <br/>\n",

## Hugging Face and WANDB Sweeps.ipynb.ipynb

      
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                amaarora
                / Hugging Face and WANDB Sweeps.ipynb.ipynb
            
            
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              May 2, 2022 15:32
            
          
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## How to save all your trained model weights locally after every epoch.ipynb

      
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                amaarora
                / How to save all your trained model weights locally after every epoch.ipynb
            
            
              Created
              March 1, 2022 12:51
            
          
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## CheckpointSaver.ipynb

      
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                amaarora
                / CheckpointSaver.ipynb
            
            
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              February 22, 2022 10:39
            
          
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## gist:e4346adde3225645f96ccf22a3267cc1
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "3344492e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# get dataset\n",

## feature_extractor.py
class FeatureExtractor(nn.Module):
    def __init__(self, model, layer_names):
        super().__init__()
        self.model = model
        self.layer_names = layer_names
        self._features = defaultdict(list)

        layer_dict = dict([*self.model.named_modules()])
        for layer_name in layer_names:
            layer = layer_dict[layer_name]

## Fastai PETS.ipynb

      
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                amaarora
                / Fastai PETS.ipynb
            
            
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              January 17, 2022 02:00
            
              
                reports/Fastai PETS Embedding.ipynb
              
          
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## GRAD CAM .ipynb

      
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                amaarora
                / GRAD CAM .ipynb
            
            
              Created
              December 13, 2021 14:43
            
              
                reports/GRAD CAM .ipynb
              
          
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## CodeCarbon.ipynb

      
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                amaarora
                / CodeCarbon.ipynb
            
            
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              December 13, 2021 14:09
            
              
                reports/CodeCarbon.ipynb
              
          
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	{
	"cells": [
	{
	"cell_type": "markdown",
	"id": "abstract-destruction",
	"metadata": {},
	"source": [
	"# Exploratory Data Analysis (EDA) on Property Sales Dataset\n",
	"\n",
	"This Jupyter notebook presents an exploratory data analysis (EDA) of a property sales dataset. <br/>\n",
	{
	"cells": [
	{
	"cell_type": "code",
	"execution_count": 12,
	"id": "3344492e",
	"metadata": {},
	"outputs": [],
	"source": [
	"# get dataset\n",
	class FeatureExtractor(nn.Module):
	def __init__(self, model, layer_names):
	super().__init__()
	self.model = model
	self.layer_names = layer_names
	self._features = defaultdict(list)

	layer_dict = dict([*self.model.named_modules()])
	for layer_name in layer_names:
	layer = layer_dict[layer_name]