markvdw / mml-autumn-2022Links
Materials for Autumn 2022 Mathematics for Machine Learning course.
☆33Updated 3 years ago
Alternatives and similar repositories for mml-autumn-2022
Users that are interested in mml-autumn-2022 are comparing it to the libraries listed below
Sorting:
- A modular, easy to extend GFlowNet library☆303Updated 2 weeks ago
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆501Updated 4 years ago
- Generative Flow Networks☆663Updated 2 years ago
- ☆511Updated last week
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆239Updated 5 months ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆140Updated last year
- A curated list of resources about generative flow networks (GFlowNets).☆501Updated last year
- Optimal Transport Dataset Distance☆174Updated 3 years ago
- alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, 2023, 2024, 2025)☆335Updated 3 weeks ago
- GFlowNet library specialized for graph & molecular data☆280Updated 7 months ago
- Example of how to use Weights & Biases on Slurm☆118Updated 3 years ago
- Model Zoos published at the NeurIPS 2022 Dataset & Benchmark track: "Model Zoos: A Dataset of Diverse Populations of Neural Network Model…☆57Updated 3 months ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆252Updated last year
- A curated list of topological deep learning (TDL) resources and links.☆268Updated 2 months ago
- Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)☆356Updated 5 months ago
- Data-efficient Training of Machine Learning Models☆68Updated 5 years ago
- PyTorch Explain: Interpretable Deep Learning in Python.☆166Updated last year
- PyTorch code corresponding to my blog series on adversarial examples and (confidence-calibrated) adversarial training.☆67Updated 2 years ago
- Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML …☆518Updated 2 months ago
- Pytorch implementation of set transformer☆645Updated 5 years ago
- This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.☆383Updated last year
- auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs☆332Updated 3 weeks ago
- ☆73Updated 2 years ago
- A template for starting reproducible Python machine-learning projects with hardware acceleration. Find an example at https://github.com/C…☆113Updated 7 months ago
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.☆102Updated 3 years ago
- Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization☆344Updated last year
- Mutual Information Neural Estimation in Pytorch☆347Updated last year
- Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch☆350Updated 2 years ago
- LipSDP - Lipschitz Estimation for Neural Networks☆71Updated 3 years ago
- Personal Webpage☆306Updated 10 months ago