masoud-ghodrati Goto Github PK

face_familiarity

facenet

Face recognition using Tensorflow

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

fast-match

Port of Fast Affine Template Matching algorithm

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

feature_engine

Feature engineering package with sklearn like functionality

floor-sp

Floor-SP: Inverse CAD for Floorplans by Sequential Room-wise Shortest Path, ICCV 2019

floornet

floorplantransformation

Raster-to-Vector: Revisiting Floorplan Transformation

forgery_localization_hled

Implementation of "Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries" paper.

gaps

A Genetic Algorithm-Based Solver for Jigsaw Puzzles :cyclone:

github-slideshow

A robot powered training repository :robot:

glove

GloVe model for distributed word representation

gnes

GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.

handout

Turn Python scripts into handouts with Markdown and figures

horizonnet

Pytorch implementation of HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation.

image-augmentation-using-opencv-and-python

Image Augmentation technique using OpenCV and Python

image-super-resolution

Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

imgclsmob

Sandbox for training convolutional networks for computer vision

improving-t-sne-visualization-and-clustering

impyute

Data imputations library to preprocess datasets with missing data

imutils

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

inconvenientmath

Materials from presentation to Citizens Data Science Meetup group in Melbourne on 20 May. "Inconvenient Mathematics: Why Data Scientists Can't Give Ugly Ducklings a Free Lunch".

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries.

infersent

Sentence embeddings (InferSent) and training code for NLI.

intro-to-linux-on-azure

An introduction to running a Linux virtual machine on Azure. This workshop has been a collaboration between Researc/hers Code and Microsoft.

kcsd-python

Kernel Current Source Density

keras

Deep Learning for humans

keras-preprocessing

Utilities for working with image data, text data, and sequence data.