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activity-detection-using-variational-autoencoders

aerial-image-recognition

The competition is hosted on https://competitions.codalab.org/competitions/27749#learn_the_details-overview

ann-cbir

a summary of Approximate Nearest Neighbor Search Algorithm/Libraries for Image retrieval

awesome-anomaly-detection

A complete list of papers on anomaly detection.

bespoke-public-talks

Code samples and other materials for presentations by Bespoke tech team members

ccai

ECMWF Summer of Weather Code 2020 challenges

cifar10dataset-classification

cnn-attention-on-aws

Setup AWS for training deep learning model

columbiau-ml-algorithm-course

NumPy implementations of various ML models

cppn-gan-vae-tensorflow

Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.

cvpr-2020

Valuable notes and toy projects from CVPR 2020 Tutorial on Image Retrieval in the Wild

data-assimilation-

deepul

deoldify

A Deep Learning based project for colorizing and restoring old images (and video!)

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

efficient-ransac-for-point-cloud-shape-detection

Efficient RANSAC for Point-Cloud Shape Detection

efficientnet-pytorch

A PyTorch Implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".

fashion-design-by-gan

a toy project experimenting variation of GAN Algorithm for sampling new bag images

geo-data-vis

gridfinder

Algorithm for guessing MV grid location based on NTL

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hypergans

Generative Adversarial Networks for synthetic hyperspectral data generation.

image-matching-toolbox

This is a toolbox repository to help evaluate various methods that perform image matching from a pair of images.

intel-scene-classification

Solution of Intel scene classification problem | 95.4 % Accuracy | 5th rank

intel-scene-classification-1

This repository includes various approaches I employed when I took part in the Intel Scene Classification Challenge. I finished the competition in the top 5%

keras-attn_aug_cnn

Extension of the `Attention Augmented Convolutional Networks` paper for 1-D convolution operation.

lime

Lime: Explaining the predictions of any machine learning classifier

many-to-many-dijkstra

A predictive model developed to identify medium-voltage electrical distribution grid infrastructure using publicly available data sources.

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mit-6.006-2016

Solutions to problem sets for MIT 6.006 Introduction to Algorithms fall 2016