btwardow

tf-face-recognition

Ral-Time Tensor Flow Face Detection and Recognition

FactorizationMachines.jl

Factorization Machines for Julia

dml4rec

DML4Rec

coursera-ml-006

Coursera - Machine Learning

Awsome-Deep-Metric-Learning

Awsome Deep Metric Learning

FACIL

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

gbm_xgboost_playground

reco-breeze-matrix-factorization

Recommendation using matrix factorization techniques - simple example using Breeze

advent-of-code-2017

Advent of Code 2017

Analytics_Vidhya

Codes related to activities on AV including articles, hackathons and discussions.

ArgParse.jl

Package for parsing command-line arguments to Julia programs.

Awesome-Incremental-Learning

Awesome Incremental Learning

btwardow.github.io

Blog Repository

cat2vec

Deep-Paraphrase

DeEPs

DeEPs algorithm implementation (instance-based classifier using EPs)

dotfiles

My dotfiles collection

facenet

Face recognition using Tensorflow

gpfm

Gaussian Process Factorization Machines for Context-aware Recommendations

incubator-spark

Mirror of Apache Spark

lightly-cifar-100

Using SimSiam from Lightly to CIFAR-100

luigi

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

Mailspring

:love_letter: A beautiful, fast and maintained fork of @Nylas Mail by one of the original authors.

metaheuristic

Intro to metaheuristics

mnist1d

A 1D analogue of the MNIST dataset for measuring spatial biases and answering "science of deep learning" questions.

pytorch-lightning-bolts

Toolbox of models, callbacks, and datasets for AI/ML researchers.

sars

Session-Aware Recommender System

session-rec

Python-based framework for building and evaluating session-based recommender systems.

SimSiam

A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'

TFRS-on-Retail-Data

Tensorflow Recommenders with Example on Retail Data