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adanet

Fast and flexible AutoML with learning guarantees.

addons

Useful extra functionality for TensorFlow 2.0 maintained by SIG-addons

advanced-deep-trading

Mostly experiments based on "Advances in financial machine learning" book

algorithms

Minimal examples of data structures and algorithms in Python

algorithms_in_ipython_notebooks

A repository with IPython notebooks of algorithms implemented in Python.

alibi

Algorithms for monitoring and explaining machine learning models

amazonsagemakercourse

SageMaker Course Material

anomaliesinoptions

In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

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! 😀)

atm

Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

attention-transfer

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

auto-sklearn

Automated Machine Learning with scikit-learn

auto_ml

[UNMAINTAINED] Automated machine learning for analytics & production

automl_survey

awesome-deep-learning

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

awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations.

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-machine-learning-on-source-code

Cool links & research papers related to Machine Learning applied to source code (MLonCode)

awesome-public-datasets

A topic-centric list of HQ open datasets. PR ☛☛☛

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-quant-machine-learning-trading

Quant/Algorithm trading resources with an emphasis on Machine Learning

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

awesome_time_series_in_python

This curated list contains python packages for time series analysis

backtrader

Python Backtesting library for trading strategies

bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

began-tensorflow

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"