requeima / llm_processesLinks
☆63Updated 4 months ago
Alternatives and similar repositories for llm_processes
Users that are interested in llm_processes are comparing it to the libraries listed below
Sorting:
- ☆228Updated 2 weeks ago
- Our maintained PFN repository. Come here to train SOTA PFNs.☆102Updated last week
- Library for text-to-text regression, applicable to any input string representation and allows pretraining and fine-tuning over multiple r…☆139Updated this week
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆65Updated 6 months ago
- ☆13Updated 6 months ago
- This repository contains code for the paper "Learning Decision Trees as Amortized Structure Inference"☆14Updated 5 months ago
- Context is Key: A Benchmark for Forecasting with Essential Textual Information☆71Updated 2 weeks ago
- Evaluation of neuro-symbolic engines☆39Updated last year
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆84Updated last year
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆89Updated 3 years ago
- Latent Program Network (from the "Searching Latent Program Spaces" paper)☆93Updated 5 months ago
- ☆35Updated 8 months ago
- Extending Conformal Prediction to LLMs☆67Updated last year
- Unofficial implementation of Conformal Language Modeling by Quach et al☆29Updated 2 years ago
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆81Updated last year
- Tabular In-Context Learning☆86Updated 5 months ago
- We integrate discrete diffusion models with neurosymbolic predictors for scalable and calibrated learning and reasoning☆39Updated 3 months ago
- PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…☆25Updated 2 years ago
- A package for conformal prediction with conditional guarantees.☆62Updated 6 months ago
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆28Updated 11 months ago
- Code for☆27Updated 8 months ago
- The Energy Transformer block, in JAX☆59Updated last year
- Scalable and Stable Parallelization of Nonlinear RNNS☆19Updated 6 months ago
- Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion …☆49Updated last month
- ☆51Updated last year
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆85Updated 2 years ago
- Official implementation of "Fourier Head: Helping Large Language Models Learn Complex Probability Distributions" (ICLR 2025)☆66Updated 4 months ago
- Generative Flow Networks - GFlowNet☆269Updated last week
- Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…☆18Updated 9 months ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago