Repository Index

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

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

A paper list of object detection using deep learning.

• deep-learning
• deep-neural-networks
• deeplearning
• objectdetection

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

• artificial-intelligence
• deep-learning
• generative-model
• score-matching

Deep universal probabilistic programming with Python and PyTorch

• python
• pytorch
• machine-learning
• bayesian

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

A curated list of community detection research papers with implementations.

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

A curated list of data mining papers about fraud detection.

• fraud-detection
• fraud-prevention
• fraud-checker
• fraud-management

Deep probabilistic analysis of single-cell and spatial omics data

• scrna-seq
• variational-bayes
• variational-autoencoder
• cite-seq

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

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