Michael Stanley's repositories
img2img-turbo
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
mihamerstan.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
adaptive_teacher
This repo provides the source code for "Cross-Domain Adaptive Teacher for Object Detection".
Helios
The Helios simulation system is a versatile modeling framework that handles tasks such as managing geometry and associated data structures through a C++ API. Plug-ins build off of the Helios core engine, and access the geometry and data via the Helios context. The sytem comes with a visualization plug-in that can produce stunning renderings of mode
lidar_ordered_points
Project for modeling point clouds as ordered data types: sequences and grids
lidar_metrics
Tools for LiDAR processing in python.
quantiacs-ml
Python version of Quantiacs toolbox and sample trading strategies
bias_free_denoising
Robust and Interpretable Blind Image Denoising via Bias-Free Convolutional Neural Networks
BRITS
Code of NIPS18 Paper: BRITS: Bidirectional Recurrent Imputation for Time Series
context_encoder_pytorch
fork of https://github.com/BoyuanJiang/context_encoder_pytorch, updated for python3 and modified
asylum_seekers
Predicting Asylum Seekers by country
context_encoder_pytorch-1
PyTorch Implement of Context Encoders: Feature Learning by Inpainting
kaggle_experiments
Tools and code for kaggle projects