chziakas / backbone-learnLinks
A Library for Scaling Mixed-Integer Optimization-Based Machine Learning.
☆12Updated last year
Alternatives and similar repositories for backbone-learn
Users that are interested in backbone-learn are comparing it to the libraries listed below
Sorting:
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆25Updated last year
- ☆18Updated 8 months ago
- TaskMet Task-driven Metric Learning for Model Learning☆20Updated last year
- Experiments on GPT-3's ability to fit numerical models in-context.☆14Updated 3 years ago
- Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"☆38Updated 2 years ago
- ☆35Updated last year
- ☆25Updated 6 months ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆20Updated 2 years ago
- Code for "Counterfactual Token Generation in Large Language Models", Arxiv 2024.☆31Updated last year
- Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…☆24Updated last year
- Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification☆11Updated 2 years ago
- Experimental version of jxbz/agd implementing support for bias terms, affine parameters, transformers, etc.☆12Updated 2 years ago
- A Python package for generating concise, high-quality summaries of a probability distribution☆55Updated last month
- Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems☆19Updated 2 years ago
- Hyperparameter tuning via uncertainty modeling☆49Updated last year
- This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.☆21Updated last year
- Experiments for the NeurIPS 2021 paper "Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks"☆13Updated 4 years ago
- Cross-field empirical trends analysis of XAI literature☆22Updated 2 years ago
- Extending Conformal Prediction to LLMs☆68Updated last year
- Code for paper: "Privately generating tabular data using language models".☆15Updated 2 years ago
- Entailment self-training☆25Updated 2 years ago
- ☆20Updated 2 weeks ago
- OCEAN: Optimal Counterfactual Explanations in Tree Ensembles (ICML 2021)☆34Updated 2 weeks ago
- Unofficial implementation of Conformal Language Modeling by Quach et al☆29Updated 2 years ago
- Official code for the paper: Invertible Neural Network for Graph Prediction☆10Updated 2 years ago
- Tutorial on time-series forcasting with scikit-learn☆34Updated 2 years ago
- Finding semantically meaningful and accurate prompts.☆48Updated 2 years ago
- GBRL-based Actor-Critic algorithms implemented in stable-baselines3☆41Updated this week
- Understanding how features learned by neural networks evolve throughout training☆40Updated last year
- Quantification of Uncertainty with Adversarial Models☆29Updated 2 years ago