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100-pandas-puzzles

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

3dmmasstn

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

artificial-intelligence

awesome-cbir-papers

📝Awesome and classical image retrieval papers

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-image-retrieval-papers

carnd-path-planning-project

Create a path planner that is able to navigate a car safely around a virtual highway

cnn-for-face-image-retrieval

:apple:Face image rerieval

cnn-for-image-retrieval

:sunrise:The code of post "Image retrieval using MatconvNet and pre-trained imageNet"

cnnimageretrieval

CNNImageRetrieval: Training and evaluating CNNs for Image Retrieval

computer-vision

cssstyles

cvpr15deepcompare

Code and models for "Learning to Compare Image Patches via Convolutional Neural Networks"

data

Open Data Sources

data-mining

databox

test

datasciencecoursera

homwork

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-coursera-complete

Deep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses

deeplearningsandbox

Blog related code for

deepslam

Replicating Convolutional Neural Network-based Place Recognition for STAT946

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

diabetes

Diabetes 130-US hospitals for years 1999-2008 Data Set

digits

Kernels for "Digits Recognizer" problem at Kaggle with TensorFlow: Softmax & Deep versions

gan-mnist

Generative Adversarial Network for MNIST with tensorflow

geodesc

Implementation of ECCV'18 paper - GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints

go

The Open Source Data Science Masters

image-retrieval

Instance-level image retrieval, used in street-to-shop scene. Leveraging large-scale noisy data, and clean it automatically. Learning R-MAC descriptors using a larger network such as ResNet101. Train with a siamese architecture to optimize a triplet loss.

inverse-compositional-stn

Inverse Compositional Spatial Transformer Networks (CVPR 2017)