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adversarial-robustness-toolbox

This is a library dedicated to adversarial machine learning. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers. https://developer.ibm.com/code/open/projects/adversarial-robustness-toolbox/

amld_2020_mlflow

MLflow workshop held at Applied Machine Learning Days 2020 in Lausanne

analysis-of-political-sentiments-on-twitter-using-deep-learning

Aim was to develop a machine learning model which can analyze sentiments on twitter and to predict the winner of Lok Sabha Elections 2019. Web scraping was used for comments and then applied feature extraction, TF-IDF, Word2Vec, ANN and LSTM to improve the accuracy of model. Softmax function was used for multiclass classification. Learning curve was used to select the epochs and batch size in ANN and LSTM. Word cloud was made to select the most important features in the dataset. Random forest classification was selected as the best classifier with the help of PR curve by using micro average for average precision and recall.

appointmentscheduler-googlecalendar

Create Appointment Scheduler chatbot using Dialogflow, by creating a fulfillment integration with Google Calendar API

article-resources

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

auto-law-review

Automate the case review on legal case documents.

awesome-bci

Curated Collection of BCI resources

awesome-dataviz

:chart_with_upwards_trend: A curated list of awesome data visualization libraries and resources.

awesome-fraud-detection-papers

A curated list of data mining papers about fraud detection.

awesome-learn-datascience

:chart_with_upwards_trend: Curated list of resources to help you get started with Data Science

awesome-network-analysis

A curated list of awesome network analysis resources.

awesome-osint

:scream: A curated list of amazingly awesome OSINT

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going).

awesome-python-security

Awesome Python Security resources 🕶🐍🔐

awesome-roadmaps

View roadmaps about developer roles to help you learn

awesome-spark

A curated list of awesome Apache Spark packages and resources.

awesomefakenews

This repository contains recent research on fake news.

babi-tasks

Task generation for testing text understanding and reasoning

bda_course_aalto

Bayesian Data Analysis course at Aalto

bi-att-flow

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

big-data-analysis-with-scala-and-spark

My submissions for the Coursera MOOC "Big Data Analysis with Scala and Spark" given by EPFL.

bluebert

BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).

bokeh

Interactive Web Plotting for Python

bokeh-python-visualization

A Bokeh project developed for learning and teaching Bokeh interactive plotting!

bone-age

Docker and Singularity containers to predict bone age from radiographs (demo)

brain_segmentation

braindecode

Deep learning software to decode EEG or MEG signals

build-three-real-world-python-applications-4379002

This repo is for the LInkedin Learning course: Build Three Real-World Python Applications

cellpad

chainer

A flexible framework of neural networks for deep learning