Repository Index

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

• machine-learning
• machine-intelligence
• artificial-intelligence
• reinforcement-learning

A list of all named GANs!

• machine-learning
• gan
• generative-adversarial-network

A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.

• aws
• cloud
• aws-sdk
• aws-cli

Deep universal probabilistic programming with Python and PyTorch

• python
• pytorch
• machine-learning
• bayesian

Largest list of models for Core ML (for iOS 11+)

• coreml
• coreml-model
• apple
• machine-learning

Scalable and user friendly neural :brain: forecasting algorithms.

• deep-learning
• forecasting
• esrnn
• nbeats

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

• machine-learning
• ml
• model-validation
• data-validation

Fast, flexible and easy to use probabilistic modelling in Python.

• python
• machine-learning
• probabilistic-graphical-models
• pytorch

:sunglasses: A curated list of robotics libraries and software

• robotics-libraries
• multibody-dynamics
• simulation
• robotics

A curated list of community detection research papers with implementations.

• graph-clustering
• network-clustering
• clustering
• dimensionality-reduction

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

• forecasting
• scikit-learn
• machine-learning
• python

A curated list of gradient boosting research papers with implementations.

• gradient-boosting
• gradient-boosting-classifier
• gradient-boosting-machine
• gradient-boosted-trees

Upscale an image by a factor of 4, while generating photo-realistic details.

• computer-vision
• machine-learning
• ai
• neural-network

A curated list of Monte Carlo tree search papers with implementations.

• tree-search
• learning
• machine-learning
• deep-learning

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

• tabular-data
• gans
• train-dataframe
• adversarial-filtering

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

• python
• sklearn
• data-science
• framework