Stars
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
COYO-700M: Large-scale Image-Text Pair Dataset
Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch
Code for NeurIPS 2019 paper Emergence of Object Segmentation in Perturbed Generative Models
A PyTorch Library for Accelerating 3D Deep Learning Research
Tools made for usage alongside artistic style transfer projects
Bringing Old Photo Back to Life (CVPR 2020 oral)
The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".
A library that uses hardware acceleration to load sequences of video frames to facilitate machine learning training
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Resnet-34 with light-weighted decoder for pose estimation. (Pytorch)
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
Model summary in PyTorch similar to `model.summary()` in Keras
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
CVPR2018 - pixel embedding & grouping for structured prediction, e.g., instance segmentation
Joint-task Self-supervised Learning for Temporal Correspondence (NeurIPS 2019)
SCOPS: Self-Supervised Co-Part Segmentation (CVPR'19)
Training code for "Associative Embedding: End-to-End Learning for Joint Detection and Grouping"
Panoptic Segmentation Resources List
PartNet Shape Segmentation Experiments Code Repo
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Latex code for making neural networks diagrams
This is the Pytorch implementation of "Learning Linear Transformations for Fast Image and Video Style Transfer" (CVPR 2019).
Supplemental code and scripts for the paper SceneNN: A Scene Meshes Dataset with aNNotations
A PyTorch implemetation of PointCNN (CS294-131 Course Proj)