abdelwahed / OT_for_big_data
Optimal Transport in the Big Data Era
☆98Updated 2 months ago
Alternatives and similar repositories for OT_for_big_data:
Users that are interested in OT_for_big_data are comparing it to the libraries listed below
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆86Updated last year
- source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"☆20Updated 6 months ago
- a collection of AWESOME things about Optimal Transport in Deep Learning☆227Updated 8 months ago
- A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…☆37Updated last year
- LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networks☆45Updated 3 months ago
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆76Updated 5 months ago
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆35Updated 10 months ago
- Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"☆37Updated last year
- Modern Fixed Point Systems using Pytorch☆85Updated last year
- NF-Layers for constructing neural functionals.☆79Updated last year
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆28Updated 4 months ago
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆62Updated 2 years ago
- Decomposing and Editing Predictions by Modeling Model Computation☆131Updated 7 months ago
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆121Updated last year
- Official repo of Progressive Data Expansion: data, code and evaluation☆27Updated last year
- Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning☆38Updated 8 months ago
- Official code for the ICML 2024 paper "The Entropy Enigma: Success and Failure of Entropy Minimization"☆47Updated 7 months ago
- Visualizing representations with diffusion based conditional generative model.☆87Updated last year
- Deep Learning & Information Bottleneck☆53Updated last year
- Official implementation of ORCA proposed in the paper "Cross-Modal Fine-Tuning: Align then Refine"☆71Updated 10 months ago
- Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"☆13Updated 11 months ago
- Official implementation of "Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers"☆118Updated 5 months ago
- State Space Models☆64Updated 8 months ago
- TorchDR - PyTorch Dimensionality Reduction☆73Updated this week
- ☆36Updated 5 months ago
- Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]☆58Updated 3 months ago
- Model Fusion via Optimal Transport, NeurIPS 2020☆138Updated 2 years ago
- Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]☆47Updated last month
- PyTorch implementations of KMeans, Soft-KMeans and Constrained-KMeans which can be run on GPU and work on (mini-)batches of data.☆61Updated 2 years ago
- [NeurIPS 2024] BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models☆21Updated 3 weeks ago