Stars
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)
Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)
Vision-and-Language Navigation in Continuous Environments using Habitat
Official PyTorch Implementation of paper "Deep 3D Mask Volume for View Synthesis of Dynamic Scenes", ICCV 2021.
Official PyTorch Implementation of paper "NeLF: Neural Light-transport Field for Single Portrait View Synthesis and Relighting", EGSR 2021.
Mesh optimization library that makes meshes smaller and faster to render
Reading, writing, and processing images in a wide variety of file formats, using a format-agnostic API, aimed at VFX applications.