Alternatives and similar repositories for llm_processes

Users that are interested in llm_processes are comparing it to the libraries listed below

• automl / PFNs
  Our maintained PFN repository. Come here to train SOTA PFNs.
  ☆92Updated 3 weeks ago
• microsoft / ticl
  Tabular In-Context Learning
  ☆74Updated 3 months ago
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆64Updated 4 months ago
• Bradley-Butcher / Conformers
  Unofficial implementation of Conformal Language Modeling by Quach et al
  ☆28Updated last year
• GFNOrg / dt-gfn
  This repository contains code for the paper "Learning Decision Trees as Amortized Structure Inference"
  ☆13Updated 3 months ago
• google-research / optformer
  ☆220Updated 3 weeks ago
• runame / laplace-redux
  Laplace Redux -- Effortless Bayesian Deep Learning
  ☆42Updated 2 weeks ago
• EdinburghNLP / torch-adaptive-imle
  ☆35Updated 6 months ago
• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆66Updated last year
• rgklab / StructuredNNs
  Structured Neural Networks
  ☆14Updated last year
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆81Updated 11 months ago
• dobriban / Principles-of-AI-LLMs
  Materials for the course Principles of AI: LLMs at UPenn (Stat 9911, Spring 2025). LLM architectures, training paradigms (pre- and post-t…
  ☆34Updated last week
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆29Updated last year
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆40Updated last year
• drewprinster / conformal-mfcs
  Code for multistep feedback covariate shift conformal prediction experiments in "Conformal Validity Guarantees Exist for Any Data Distrib…
  ☆27Updated 11 months ago
• brantondemoss / GrokkingComplexity
  Code for
  ☆27Updated 6 months ago
• wiseodd / lapeft-bayesopt
  Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.
  ☆19Updated 10 months ago
• ServiceNow / context-is-key-forecasting
  Context is Key: A Benchmark for Forecasting with Essential Textual Information
  ☆66Updated 4 months ago
• VectorInstitute / vbll
  Simple (and cheap!) neural network uncertainty estimation
  ☆66Updated 3 weeks ago
• jjcherian / conditional-conformal
  A package for conformal prediction with conditional guarantees.
  ☆58Updated 4 months ago
• layer6ai-labs / TabDPT
  TabDPT: Scaling Tabular Foundation Models
  ☆30Updated 2 months ago
• tijana-zrnic / active-inference
  ☆15Updated last year
• clear-nus / NCDSSM
  PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…
  ☆25Updated last year
• cambridge-mlg / jolt
  ☆11Updated 4 months ago
• GFNOrg / gfn-diffusion
  ☆34Updated 2 months ago
• flukeskywalker / nanoDD
  Simple Scalable Discrete Diffusion for text in PyTorch
  ☆33Updated 8 months ago
• tennisonliu / LLAMBO
  Official Repository for LLAMBO "Large Language Models to Enhance Bayesian Optimization"
  ☆72Updated 6 months ago
• interpretml / LLM-Tabular-Memorization-Checker
  Testing Language Models for Memorization of Tabular Datasets.
  ☆33Updated 4 months ago
• runame / laplace-refinement
  Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
  ☆10Updated 2 years ago
• phlippe / ENCO
  Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
  ☆83Updated last year