akashpalrecha/siamese-transfer

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Created almost 5 years ago
Updated about 4 years ago

akashpalrecha/siamese-transfer

akashpalrecha

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A personal research attempt at making transfer learning work for Siamese Networks

hyperspectral-reconstruction

Reconstructing 31 band hyperspectral imagery from 3 band RGB input

Jupyter Notebook

Resnet-multichannel

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

custom-fastai-callbacks

Custom Callbacks to extend the Fastai library's functionality

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distill-superres

fork of EDSR based repo to do knowledge distillation experiments for super resolution

classification_oversampling

Utility package to help in oversampling images in Image Classification tasks

drought-watch

A deep learning classification model to predict drought using satellite imagery.

Jupyter Notebook

ImageReader_w_data_augmentation

A simplified approach to Data Augmentation for Computer Vision applications using python.

deblurring-pipeline

Contains code to run experiments on image deblurring using deep learning.

Java-ML

Neural network implementation in pure Java (no third-party libraries used)

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Deep-Into-PyTorch-Modules

Explores the internals of `torch.nn.Module`

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HumanProteinAtlasClassification

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

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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.

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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

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