akashpalrecha/Deep-Into-PyTorch-Modules akashpalrecha/Deep-Into-PyTorch-Modules

  • Stars
    star
    1
  • Language
    Jupyter Notebook
  • License
    Apache License 2.0
  • Created almost 5 years ago
  • Updated almost 3 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
akashpalrecha/Deep-Into-PyTorch-Modules
github

akashpalrecha

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Explores the internals of `torch.nn.Module`

More Repositories

1

hyperspectral-reconstruction

Reconstructing 31 band hyperspectral imagery from 3 band RGB input
Jupyter Notebook
18
star
2

Resnet-multichannel

Helper class to create Pretrained Resnet models that can take in an arbitary number of channels as input.
Python
7
star
3

custom-fastai-callbacks

Custom Callbacks to extend the Fastai library's functionality
Jupyter Notebook
7
star
4

distill-superres

fork of EDSR based repo to do knowledge distillation experiments for super resolution
Python
4
star
5

classification_oversampling

Utility package to help in oversampling images in Image Classification tasks
Python
3
star
6

drought-watch

A deep learning classification model to predict drought using satellite imagery.
Jupyter Notebook
2
star
7

siamese-transfer

A personal research attempt at making transfer learning work for Siamese Networks
Jupyter Notebook
1
star
8

ImageReader_w_data_augmentation

A simplified approach to Data Augmentation for Computer Vision applications using python.
Python
1
star
9

deblurring-pipeline

Contains code to run experiments on image deblurring using deep learning.
Python
1
star
10

Java-ML

Neural network implementation in pure Java (no third-party libraries used)
Jupyter Notebook
1
star
11

HumanProteinAtlasClassification

My attempt at this Kaggle competition - https://www.kaggle.com/c/human-protein-atlas-image-classification
Jupyter Notebook
1
star
12

computational-linear-algebra

Contains my work on Fast.ai's Computational Linear Algebra Course (https://github.com/fastai/numerical-linear-algebra/blob/master/README.md) along with my own explorations of the subject.
Jupyter Notebook
1
star
13

Lookahead

This project compares Geoffrey Hinton's new Lookahead optimizer with other conventional optimizers like AdamW, SGD, RMSProp, etc. This is a work in progress
Jupyter Notebook
1
star