Oudarjya Sen Sarma (@oudarjya718)
  • Stars
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    37
  • Global Rank 421,862 (Top 15 %)
  • Followers 42
  • Following 304
  • Registered almost 7 years ago
  • Most used languages
    Python
    6.7 %
    CSS
    6.7 %
    HTML
    6.7 %
  • Location 🇮🇳 India
  • Country Total Rank 15,223
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    CSS
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Top repositories

1

Udacious_Recipes

CSS
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2

Udacity-SLAM-Test

HTML
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3

Loading-Image-Data

So going with my series of Pytorch projects, till now we've been working with fairly artificial datasets that we wouldn't typically be using in real projects. Instead, we'd likely be dealing with full-sized images like we'd get from smart phone cameras. In this notebook, we'll look at how to load images and use them to train neural networks.
Jupyter Notebook
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Image_Captioning

Jupyter Notebook
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5

Facial_Keypoint_Detection

Jupyter Notebook
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6

pate

Jupyter Notebook
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7

haiku_1

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8

Transfer-Learning-using-ImageNet

In this notebook, we'll Walk through how to use pre-trained networks to solved challenging problems in computer vision. Specifically, you'll use networks trained on ImageNet available from torchvision.
Jupyter Notebook
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9

Saving-and-Loading-Models

In this notebook I'll walk through a very preliminary yet important way on how save and load your models using PyTorch , to use them for future use and continue training them on new data.
Jupyter Notebook
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10

Landmark-Detection-Tracking-SLAM-

Jupyter Notebook
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11

fashion-MNIST

classification of different Apparels, Shoes, Dresses etc that are a part of the fashion MNIST dataset : https://github.com/zalandoresearch/fashion-mnist
Jupyter Notebook
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12

Malaria-Blood-Sample-Classification

Jupyter Notebook
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13

60daysofudacity

my progress and updates on Secure And Private AI
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14

data

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15

Malaria-Detection

Python
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16

60_days_of_udacity-NUTANIX-

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17

MNIST-Classifier

An introduction to neural networks in python using py-torch, and a brief explanation of the Softmax function and Forward pass by Hand-Written Digit Classification
Jupyter Notebook
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18

Inference-Validation-using-PyTorch

This is another notebook where I've walked through the concepts of Inference, Validation and Overfitting using Pytorch
Jupyter Notebook
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19

generate_faces

Jupyter Notebook
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