Create a kaleidoscope based on a dataset

Official Repository for the paper Style Transfer for Co-Speech Gesture Animation: A Multi-Speaker Conditional-Mixture Approach published in ECCV 2020 (https://arxiv.org/abs/2007.12553)

The Wasserstein Distance and Optimal Transport Map of Gaussian Processes

Reproducible Rapid Research for Neural Architecture Search (NAS)

Reimplementation of Style Transfer by Relaxed Optimal Transport and Self-Similarity

Google AI Research

PyTorch implementations of Generative Adversarial Networks.

Microsoft Internship

Deep universal probabilistic programming with Python and PyTorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

R package dlnm

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

A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.

Goal: make Pattern compatible with Python 3.

The MATLAB software toolbox for MEG and EEG analysis

Scrapy, a fast high-level web crawling & scraping framework for Python.

Federated Knowledge Extraction Framework

Large-scale and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, on single node, hadoop yarn and more.