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adventures-in-ml-code

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

aerial_segmentation

A private repo to test different segmentation architectures on Inria aerial images dataset

attributes2vec

modification of the sub2vec algorithm to handle graphs with attributes

began-tensorflow

Tensorflow implementation of BEGAN

clon_rep_kaggle-

It is a my new repo for the code from b.e.s. & phalanx for kaggle salt. I am using the part from bes and I modified the model for my data.

cnnimageretrieval-pytorch

CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

color-camera-calibration-code

color camera calibration project, linear and polynomial regression is used. draft.

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

detr

End-to-End Object Detection with Transformers

emg-gan

GANs for generating EMG signals

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

geomaps_with_pandas

A project to get the .png maps of given resolution from shapefiles using Geopandas and Shapely

graph_nn

Graph classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)

graph_transformers

transformers on graphs repo

hashgraphkernel

Source code for our IEEE ICDM 2016 paper "Faster Kernels for Graphs with Continuous Attributes".

hierachical-segmentation-algorithm-c

Master Thesis Color based Hierarchical Segmentation Algo.

hmm

code HMM for human gait recognition using an old NMT toolbox

image_to_capture_pytorch

My version of the cn231 model IMAGE2Capture re-coded using the PyTorch library

kaggle_challenge_foot

kili_instructions

lab_kinect

lab for students

lightweight_refinenet

Repository for modified LightWeight-RefineNet (for Semantic Segmentation)

lstm-poetry

Generate random poetry using a LSTM neural network

lstm_gait_model

Simple Keras sequential models for my gait cycle data

margokhokhlova

margokhokhlova.github.io

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

mmf

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

models

Models and examples built with TensorFlow

nlp-text-mining-working-examples

Full working examples with accompanying dataset for Text Mining and NLP. Current code base: Gensim Word2Vec, Phrase Embeddings, Keyword Extraction with TF-IDF and SKlearn, Word Count with PySpark