A Python implementation of Kernel Mean Matching data reweighting algorithm
☆33Dec 7, 2015Updated 10 years ago
Alternatives and similar repositories for py-kmm
Users that are interested in py-kmm are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Dataset Bias correction (Python)☆20Jan 7, 2018Updated 8 years ago
- PyTorch reimplementation of Moving Semantic Transfer Network☆37Feb 15, 2019Updated 7 years ago
- Implementation and usage of marginalized stacked denoising autoencoders (mSDA)☆24Jun 1, 2016Updated 10 years ago
- Meta-SGD Algorithms Implementation☆22Jul 18, 2024Updated last year
- Code for "Revisiting classifier two-sample tests" (ICLR 2017).☆20Mar 13, 2018Updated 8 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Flow Contrastive Estimation (FCE) PyTorch Implementation on 2D data☆11May 20, 2022Updated 4 years ago
- Python implementation of (linear) Marginalized Stacked Denoising Autoencoder (mSDA), as well as dense Cohort of Terms (dCoT). Based on Ma…☆27Jun 16, 2020Updated 5 years ago
- A robust encoder-decoder architecture for cloud detection from satellite remote sensing images☆12Aug 4, 2021Updated 4 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆44Oct 24, 2023Updated 2 years ago
- AutoDIAL Caffe Implementation☆27Jul 24, 2017Updated 8 years ago
- ☆22Feb 5, 2025Updated last year
- Caffe: a fast open framework for deep learning.☆137Aug 28, 2015Updated 10 years ago
- Transfer Learning☆10Aug 3, 2018Updated 7 years ago
- Scikit-learn style implementation of TrAdaBoost algorithm☆36Jan 19, 2018Updated 8 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆93Feb 13, 2020Updated 6 years ago
- Code for the paper "Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation", ICLR 2018☆64Dec 11, 2019Updated 6 years ago
- The code base for the article "Neural Structural Correspondence Learning for Domain Adaptation", CoNLL 2017☆14Jun 20, 2018Updated 7 years ago
- SparklingGraph documentation☆10Jan 7, 2020Updated 6 years ago
- ☆57Oct 3, 2023Updated 2 years ago
- Adaptable generative prediction using recursive least square algorithm☆15Apr 23, 2019Updated 7 years ago
- ☆15Sep 9, 2015Updated 10 years ago
- ☆12May 10, 2018Updated 8 years ago
- Variational Information Bottleneck☆16Nov 26, 2018Updated 7 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Just another DAgger algorithm implementation☆14Apr 10, 2017Updated 9 years ago
- Code for https://arxiv.org/abs/1811.00145☆12Feb 13, 2021Updated 5 years ago
- The re-implement of NIPS 2018 paper: Conditional Adversarial Domain Adaptation☆22Oct 25, 2018Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Jun 21, 2019Updated 6 years ago
- ☆14Nov 27, 2025Updated 6 months ago
- Natural Perturbation for Robust Question Answering☆12Apr 7, 2020Updated 6 years ago
- ☆13Nov 17, 2021Updated 4 years ago
- an implement of hog+svm &hog+cascade,using c++☆12Apr 3, 2018Updated 8 years ago
- structured attention encoder☆13Jun 6, 2018Updated 8 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Variational Fourier Features☆88Jun 16, 2021Updated 4 years ago
- Arctic sea ice interannual variability and change☆11Mar 26, 2018Updated 8 years ago
- Deep Variational Information Bottleneck (DVIB) in PyTorch.☆10Apr 25, 2020Updated 6 years ago
- ☆11Nov 4, 2024Updated last year
- ☆34Apr 7, 2018Updated 8 years ago
- ☆10Nov 21, 2022Updated 3 years ago
- NoiseGrad (and its extension NoiseGrad++) is a method to enhance explanations of artificial neural networks by adding noise to model weig…☆22May 11, 2023Updated 3 years ago