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2015

Public material for CS109

adanet

Fast and flexible AutoML with learning guarantees.

ailab

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

alipy

ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

animations-with-matplotlib

Using the matplotlib library to create some interesting animations.

ansible

Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy. Avoid writing scripts or custom code to deploy and update your applications— automate in a language that approaches plain English, using SSH, with no agents to install on remote systems.

ansible-confluence

an ansible playbook for installing and configuring confluence

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

augmented-random-search

In this Repo I build Augmented Random Search its a game changing AI. It is very simple implementation it is able to do the exactly the same thing that Google Deep mind did in there accomplishment last year. Paper

autoencoder_classifier

Autoencoder model for rare event classification

automated-manual-comparison

Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.

automl-gs

Provide an input CSV and a target field to predict, generate a model + code to run it.

autoner

Learning Named Entity Tagger from Domain-Specific Dictionary

autonomous-car-

awesome

:sunglasses: Curated list of awesome lists

awesome-artificial-intelligence

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-flutter-libraries

List of Awesome & Best Flutter Libraries

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

awesome-machine-learning-on-source-code

Interesting links & research papers related to Machine Learning applied to source code

awesome-mlops

A curated list of references for MLOps

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

aws-iot-intel

Examples for getting started with Amazon* Web Services* AWS* IoT* on the Intel® Edison board.

basic_model_scratch

Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library

bert

TensorFlow code and pre-trained models for BERT

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

bert-entity-extraction

better-exceptions

Pretty and useful exceptions in Python, automatically.

bilstm-crf

A Pytorch implementation for NER using BiLSTM-CRF