subhankar21 Goto Github PK

3d-reconstruction-using-kinect-v2

adversarial_invariance_feature_learning

Adversarial invariance feature learning.

adversebinet

Improving Document Binarization via Adversarial Noise-Texture Augmentation

aerial-cactus-classification-keras

In this project I take the satelite images taken for autonomous feild detection to classify cactuses within the feild. I follow the research paper experiment and use the LeNet-5 Convolutional Neural Network architecture. I use data augmentation to get the model to a 95% accuracy.

attentioncluster

TensorFlow Implementation of "Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification"

awesome-ai-books

Some awesome AI related books and pdfs for learning and downloading

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-graph-embedding

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bccnet

BCCNet: Bayesian classifier combination neural network

blitz-bayesian-deep-learning

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

bnn

Designed to implement Bayesian modelling for Deep neural networks to classify the images with uncertainty.

braincnn_vis

Visualization method for Convolutional Neural Networks on Graphs for functional connectivity

capsule-network

Tensorflow Implementation of Capsule Networks

capsule-network-mnist-visualization

capsule network with Keras(ref, https://github.com/XifengGuo/CapsNet-Keras), visualize MNIST using 2D digits capsule

cascade-ld

Lane detection and classification in an end-to-end Deep Learning fashion

cnn-attention

An Image Classifier with attention layers visualized

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

coderelease_colornormalization

This is the MATLAB code for stain separation and color normalization in computational pathology (histopathological images)

colorectal_histology_mnist

Classification of colorectal cancer histology into 8 classes

computer-vision-

Computer Vision Algorithms: Pixel based image processing ( histogram, flood-fill, dilation, erosion, double thresholding), Canny edge detection, Principal connected component analysis, Wall following algorithm, Lucas-Kanade Motion tracking, Haris corner detection, and Watershed segmentation algorithms are implemented in MATLAB.

confidenceinterval

The long missing library for python confidence intervals

covidctscanensemble

An Ensemble Stacking model of three pretrained models using Transfer Learning to classify CT Scan Images into Covid or Healthy

crossvit-pytorch

Implementation of CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification

darkshotlearning

One Shot Learning with Siamese Neural Networks + Triplet Siamese Neural Networks on Dark Web Images

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-learning-models

Keras code and weights files for popular deep learning models.

deepdream

Playing around with Google's DeepDream algorithm for feature visualization.

deeplearning-capsnet-timeseries-mnist

Deep Learning Project using G. Hinton's Capsule Network