Repository Index

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

• inpainting
• inpainting-methods
• inpainting-algorithm
• computer-vision

TranslatedBuild your neural network easy and fast, 莫烦Python (Morvan Python) Chinese teaching

• neural-network
• python
• pytorch-tutorial
• batch-normalization

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.

• super-resolution
• inpainting
• matting
• image-generation

An adversarial example library for constructing attacks, building defenses, and benchmarking both

• machine-learning
• security
• benchmarking

Financial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

• finance
• portfolio-optimization
• portfolio-management
• quantitative-finance

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

• machine-learning
• economics
• causal-inference
• causality

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

• bayesian-methods
• deep-learning
• machine-learning
• data-science

Data augmentation for NLP

• nlp
• augmentation
• machine-learning
• artificial-intelligence

Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！

• machine-learning
• multivariate-statistics
• pca
• regression

Algorithms for outlier, adversarial and drift detection

• anomaly
• outlier
• concept-drift
• detection

Synthetic data generators for tabular and time-series data

• gan-architectures
• gan
• deep-learning
• synthetic-data

Solve captcha without manually labeling a training set

• keras
• gan
• neural-network
• generative-adversarial-network

Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star

• dna
• language-model
• variant-effect-prediction
• genomics

Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.

• tensorflow
• tensorflow2
• watermarking
• neural-network