chziakas / backbone-learn
A Library for Scaling Mixed-Integer Optimization-Based Machine Learning.
☆11Updated 9 months ago
Alternatives and similar repositories for backbone-learn:
Users that are interested in backbone-learn are comparing it to the libraries listed below
- TaskMet Task-driven Metric Learning for Model Learning☆19Updated last year
- Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"☆36Updated last year
- Experiments on GPT-3's ability to fit numerical models in-context.☆14Updated 2 years ago
- Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification☆11Updated last year
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆24Updated 6 months ago
- Residual Quantization Autoencoder, used for interpreting LLMs☆11Updated 3 months ago
- Analogous Safe-state Exploration (ASE) is an algorithm for provably safe and optimal exploration in MDPs with unknown, stochastic dynamic…☆11Updated 4 years ago
- ☆17Updated last week
- Minimum Description Length probing for neural network representations☆19Updated 2 months ago
- This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.☆17Updated 11 months ago
- The repository contains code for Adaptive Data Optimization☆21Updated 4 months ago
- Evaluation of neuro-symbolic engines☆35Updated 8 months ago
- NeurIPS 2024 tutorial on LLM Inference☆41Updated 4 months ago
- QAlign is a new test-time alignment approach that improves language model performance by using Markov chain Monte Carlo methods.☆15Updated last week
- Code for "Counterfactual Token Generation in Large Language Models", Arxiv 2024.☆25Updated 5 months ago
- ☆16Updated 6 months ago
- Source-to-Source Debuggable Derivatives in Pure Python☆15Updated last year
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆20Updated 2 years ago
- LLM training in simple, raw C/CUDA☆14Updated 4 months ago
- Code for experiments on transformers using Markovian data.☆11Updated 4 months ago
- Q-Probe: A Lightweight Approach to Reward Maximization for Language Models☆41Updated 10 months ago
- Official code for paper: Conservative objective models are a special kind of contrastive divergence-based energy model☆14Updated last year
- ☆18Updated 9 months ago
- Causal Agent based on Large Language Model☆44Updated 8 months ago
- Few-shot Learning with Auxiliary Data☆27Updated last year
- ☆11Updated 2 weeks ago
- ☆28Updated last week
- Codes for the paper "CausalCite: A Causal Formulation of Paper Citations" (2023)☆16Updated last year
- Learning to route instances for Human vs AI Feedback☆23Updated 2 months ago
- Scalable Convex Neural Networks☆23Updated 3 weeks ago