joffery's Stars
satellite-image-deep-learning/techniques
Techniques for deep learning with satellite & aerial imagery
shengyp/doing_the_PhD
geomstats/geomstats
Computations and statistics on manifolds with geometric structures.
KaiyangZhou/Dassl.pytorch
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
yfzhang114/Generalization-Causality
关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记
yzy1996/English-Writing
Enhance Your English Writing for Science Research 写论文英语素材
giotto-ai/giotto-tda
A high-performance topological machine learning toolbox in Python
pnkraemer/tueplots
Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other scientific publications.
p-lambda/wilds
A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
vizzuhq/ipyvizzu-story
Build, present and share animated data stories in Jupyter Notebook and similar environments.
facebookresearch/amortized-optimization-tutorial
Tutorial on amortized optimization for learning to optimize over continuous domains
cloudtostreet/Sen1Floods11
kaixin96/rl-generalization-paper
A list of papers regarding generalization in (deep) reinforcement learning
soochan-lee/CN-DPM
Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."
matsuolab/T3A
This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2021, Spotlight)
huangleiBuaa/NormalizationSurvey
This repo is for our paper: Normalization Techniques in Training DNNs: Methodology, Analysis and Application
andregraubner/ClimateNet
Climate Analytics using Deep Neural Networks in Python.
eracah/hur-detect
Deep Semi-Supervised Object Detection for Extreme Weather Events
KrishnaswamyLab/graphtools
Tools for building and manipulating graphs in Python
KrishnaswamyLab/DiffusionEMD
Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings
Faruk-Ahmed/predictive_group_invariance
JayThibs/map-floodwater-satellite-imagery
This repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.
pmichel31415/P-DRO
Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Parametric Likelihood Ratios"
RuntianZ/doro
Distributional and Outlier Robust Optimization (ICML 2021)
joffery/UMGUD
The Pytorch implementation for "Uncertainty-guided Model Generalization to Unseen Domains" (CVPR 2021)
Newbeeer/TRM
Learning Representations that Support Robust Transfer of Predictors
yaodongyu/ProjNorm
Predicting Out-of-Distribution Error with the Projection Norm
mstaib/mmd-dro-code
Accompanying code for our NeurIPS 2019 paper
epfml/topology-in-decentralized-learning
Code related to ’Beyond spectral gap: The role of the topology in decentralized learning‘.
vihari/CGD
Implementation of Common Gradient Descent Algorithm