Pinned Repositories
AE-CatsnDogs-Continuous-Bernoulli
Training an AE on the cats & dogs dataset using the continuous bernoulli log loss from 1907.06845
AE-w.-Bottleneck-Residual-Blocks
A CNN based autoencoder with Bottleneck Residual blocks on cifar10. May add perceptual loss and/or try out different loss functions later, will use L2 as the default.
astronomy-to-data-science
resources for transitioning from academic astronomy to industry data science
Beta-VAE-on-MNIST
Studying the effect of varying beta (coefficient of the KL term) in a beta-VAE on the MNIST dataset
CatsnDogs_img_dataset
A dataset created using some images from the Oxford-IIIT Pet dataset, and then performing some data augmentation and processing
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
DLDR
[TPAMI 2023] Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces
L2-vs-L1-vs-CB-loss-in-deep-CNN-based-AE-on-cifar10
Comparing performance of AE and VAE using the Continuous Bernoulli loss and using mse loss, on the unlabelled part of the stl10 image dataset
medical-imaging-datasets
A list of Medical imaging datasets.
QRdecomp
QR decomposition of matrices
AtSourav's Repositories
AtSourav/Beta-VAE-on-MNIST
Studying the effect of varying beta (coefficient of the KL term) in a beta-VAE on the MNIST dataset
AtSourav/L2-vs-L1-vs-CB-loss-in-deep-CNN-based-AE-on-cifar10
Comparing performance of AE and VAE using the Continuous Bernoulli loss and using mse loss, on the unlabelled part of the stl10 image dataset
AtSourav/AE-CatsnDogs-Continuous-Bernoulli
Training an AE on the cats & dogs dataset using the continuous bernoulli log loss from 1907.06845
AtSourav/AE-w.-Bottleneck-Residual-Blocks
A CNN based autoencoder with Bottleneck Residual blocks on cifar10. May add perceptual loss and/or try out different loss functions later, will use L2 as the default.
AtSourav/QRdecomp
QR decomposition of matrices
AtSourav/astronomy-to-data-science
resources for transitioning from academic astronomy to industry data science
AtSourav/CatsnDogs_img_dataset
A dataset created using some images from the Oxford-IIIT Pet dataset, and then performing some data augmentation and processing
AtSourav/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
AtSourav/DLDR
[TPAMI 2023] Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces
AtSourav/medical-imaging-datasets
A list of Medical imaging datasets.
AtSourav/Oxford-IIIT-Pet-Dataset-augmentation-and-classification
Training CNN based image classifiers to identify breeds of cats and dogs.
AtSourav/mnist_jax_w_hparams_GUI
MLP classifier on the MNIST dataset implemented in JAX with a GUI for entering hyperparameters, and a custom visualization of runs on TensorBoard.