Vigneshwaran Santhalingam's repositories
Predicting-Lung-Congestion
Predict the level of lung congestion with the spirometer data collected from people visiting the lab.
Anomaly-Detection-by-Feature-Segregation
This work is on developing an algorithm embedded on simple parametric and non-parametric machine learning algorithms that makes them perform better in the presence of anomalies.
Algorithms
A collection of algorithms and data structures
ar-cutpaste
Cut and paste your surroundings using AR
chaiNNer
A node-based image processing GUI aimed at making chaining image processing tasks easy and customizable. Born as an AI upscaling application, chaiNNer has grown into an extremely flexible and powerful programmatic image processing application.
Co-teaching
NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
fsdl-text-recognizer-2021-labs
Complete deep learning project developed in Full Stack Deep Learning, Spring 2021
fsdl-text-recognizer-project
The source repository is at https://github.com/full-stack-deep-learning/fsdl-text-recognizer
GDL_code
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
hippodeep_pytorch
quick segmentation of the hippocampus from T1 MRI images. (pytorch version)
HowToTrainYourMAMLPytorch
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
keras
Deep Learning for humans
keras-DepthwiseConv3D
Keras w/ Tensorflow backend implementation for 3D channel-wise convolutions
ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
nmpevqvae
Neuromorphologicaly Preserving Volumetric Data Encoding Using VQ-VAE
pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
recurrent-visual-attention
A PyTorch Implementation of "Recurrent Models of Visual Attention"
RNN_Slice_BrainAge
Encoding 3D Structural MRI as sequence of slices and application to age prediction
SC-GAN
SC-GAN: 3D self-attention conditional GAN with spectral normalization for multi-modal neuroimaging synthesis
sonnet
TensorFlow-based neural network library
tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Unlearning_for_MRI_harmonisation
Code for implementation of Unlearning Scanner Bias for MRI Harmonisation
variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
website
Source for https://fullstackdeeplearning.com
yolov5-knowledge-distillation
implementation of Distilling Object Detectors with Fine-grained Feature Imitation on yolov5