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ensemble-methods-for-classification

Random Forests and Multi-class AdaBoost for Wine and MNIST datasets

ensemble_adversarial_attack

Ensemble Adversarial Black-Box Attacks against Deep Learning Systems Trained by MNIST, USPS and GTSRB Datasets

explorekit

face_recognition

The world's simplest facial recognition api for Python and the command line

facenet

Face recognition using Tensorflow

fair-classification

Python code for training fair logistic regression classifiers.

fairness-in-ml

This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

feature-nullification

Make DNN more robust to adversarial samplse with feature nullification algorithms

feature-selection

Play around with Python libraray featuretools

featurehub

A new paradigm for collaborative feature engineering

featuretools

automated feature engineering

featuretools-docker

Use docker to provision Featuretools with a Jupyter notebook server

featuretools-instacart-demo

featuretools-workshop

Public repository made for Automated Feature Engineering workshop (Summer Data Conf, Odessa, 2018-07-21)

finetune_alexnet_with_tensorflow

Code for finetuning AlexNet in TensorFlow >= 1.12

gcforest

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

glog

C++ implementation of the Google logging module

glow

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

health-information-inquiry-system

Health Information Inquiry System(健康信息查询系统)

hip

HIP: C++ Heterogeneous-Compute Interface for Portability

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

hydro-serving

ML FaaS - Machine Learning Serving cluster

imagenet-stubs

A teeny tiny set of ImageNet-like images for testing pipelines

improved-gan

code for the paper "Improved Techniques for Training GANs"

jetson-inference

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and Jetson TX1/TX2.

jsymbol_vba

Our team is responsible for method extraction and performance test for the programming language of Visual Basic for Application.

kaggle-titanic

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

keras

Deep Learning for humans