🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

Perform data science on data that remains in someone else's server

A Flow-based Generative Network for Speech Synthesis

Use supervised learning to illuminate the latent space of GAN for controlled generation and edit

A Pytorch implementation of "FloWaveNet: A Generative Flow for Raw Audio"

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

Synthetic book pages created with a PGGAN