chziakas / backbone-learn
A Library for Scaling Mixed-Integer Optimization-Based Machine Learning.
☆11Updated 2 months ago
Related projects: ⓘ
- ☆14Updated 4 months ago
- Evaluation of neuro-symbolic engines☆29Updated last month
- Experiments on GPT-3's ability to fit numerical models in-context.☆14Updated 2 years ago
- Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems☆17Updated last year
- ☆32Updated 9 months ago
- Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"☆33Updated last year
- TaskMet Task-driven Metric Learning for Model Learning☆18Updated 7 months ago
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆22Updated 10 months ago
- Extending Conformal Prediction to LLMs☆53Updated 2 months ago
- ☆17Updated 2 years ago
- This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.☆16Updated 5 months ago
- GBRL-based Actor-Critic algorithms implemented in stable-baselines3☆20Updated this week
- ☆26Updated last week
- Code for Copula conformal prediction paper (ICLR 2024)☆20Updated 6 months ago
- Scalable Convex Neural Networks☆20Updated 4 months ago
- Tools for exploring Transformer neuron behaviour, including input pruning and diversification.☆18Updated 11 months ago
- Clean RL implementation using MLX☆26Updated 6 months ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆19Updated last year
- Global, derivative-free optimization for hyperparameter tuning☆41Updated last year
- Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…☆19Updated 7 months ago
- Documentation for dynamic machine learning systems.☆26Updated last week
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆21Updated last year
- Conformal Prediction for Time Series with Modern Hopfield Networks☆67Updated 9 months ago
- ☆46Updated 2 months ago
- Official implementation of paper "On the Diagram of Thought" (https://arxiv.org/abs/2409.10038)☆32Updated this week
- Deep Probabilistic Koopman: long-term time-series forecasting under quasi-periodic uncertainty☆18Updated 2 years ago
- Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification☆11Updated last year
- PyHopper is a hyperparameter optimizer, made specifically for high-dimensional problems arising in machine learning research.☆86Updated 8 months ago
- Minimum Description Length probing for neural network representations☆15Updated 11 months ago
- This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"☆26Updated last year