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anomaly-detection-deep-svdd-tensorflow

Tensorflow Implementation of Deep SVDD

benefitssimulation

Rapid prototype using R and Shiny

biostatisticsbootcamp2

bitcoin

Bitcoin Core integration/staging tree

bitstarter

cgminer

ASIC and FPGA miner in c for bitcoin

datasciencecoursera

datasharing

The Leek group guide to data sharing

datasketch

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble

deep-sad-pytorch

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

deep-svdd

Repository for the Deep One-Class Classification ICML 2018 paper

deep-svdd-pytorch

A PyTorch implementation of the Deep SVDD anomaly detection method

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

facenet

Face recognition using Tensorflow

fast-style-transfer

Fast Style Transfer in TensorFlow ⚡🖥🎨🖼

heartratesample

HeartRate Of HealthKit Sample

java

lsh

Locality Sensitive Hashing using MinHash in Python/Cython to detect near duplicate text documents

miningmassivedatasets

notes-on-causal-inference

Some notes on Causal Inference, with examples in python

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

oc-nn

Repository for the One class neural networks paper

ocan

practical-api-security-python-example-flask

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

rcrunchbase

An R client for the CrunchBase API

reinforcement-learning-an-introduction

Python code for Reinforcement Learning: An Introduction

resume_job_matching

a machine learned solution with rich features for job matching

rfacebook

Dev version of Rfacebook package: Access to Facebook API via R

samples

Samples of the book gRPC Up and Running. Each sample is based on a real-world use case and details of the use case can be found in the respective chapter of the book.