Alternatives and similar repositories for llm_processes

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

• google-research / optformer
  ☆230Updated last month
• GFNOrg / dt-gfn
  This repository contains code for the paper "Learning Decision Trees as Amortized Structure Inference"
  ☆15Updated 6 months ago
• cambridge-mlg / jolt
  ☆14Updated 3 weeks ago
• nate-gillman / fourier-head
  Official implementation of "Fourier Head: Helping Large Language Models Learn Complex Probability Distributions" (ICLR 2025)
  ☆66Updated 6 months ago
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆82Updated last year
• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆67Updated last year
• DeqingFu / transformers-icl-second-order
  Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…
  ☆18Updated 10 months ago
• taufeeque9 / codebook-features
  Sparse and discrete interpretability tool for neural networks
  ☆63Updated last year
• phlippe / ENCO
  Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
  ☆86Updated last year
• ExtensityAI / benchmark
  Evaluation of neuro-symbolic engines
  ☆39Updated last year
• automl / PFNs
  Our maintained PFN repository. Come here to train SOTA PFNs.
  ☆106Updated last week
• Bradley-Butcher / Conformers
  Unofficial implementation of Conformal Language Modeling by Quach et al
  ☆29Updated 2 years ago
• ServiceNow / context-is-key-forecasting
  Context is Key: A Benchmark for Forecasting with Essential Textual Information
  ☆79Updated last month
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆84Updated 2 years ago
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆90Updated 3 years ago
• EdinburghNLP / torch-adaptive-imle
  ☆35Updated 10 months ago
• HEmile / neurosymbolic-diffusion
  We integrate discrete diffusion models with neurosymbolic predictors for scalable and calibrated learning and reasoning
  ☆49Updated last week
• nZhangx / TrajectoryFlowMatching
  Code repository for Trajectory Flow Matching
  ☆83Updated 11 months ago
• ml-jku / DIffUCO
  ☆54Updated 3 months ago
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆41Updated last year
• deep-symbolic-mathematics / llm-srbench
  [ICML2025 Oral] LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models
  ☆77Updated 2 months ago
• vvvm23 / mamba-jax
  Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX
  ☆89Updated last year
• AhmedImtiazPrio / grok-adversarial
  Deep Networks Grok All the Time and Here is Why
  ☆37Updated last year
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆68Updated 7 months ago
• clement-bonnet / lpn
  Latent Program Network (from the "Searching Latent Program Spaces" paper)
  ☆98Updated 6 months ago
• AllanYangZhou / universal_neural_functional
  ☆52Updated last year
• IdoAmos / not-from-scratch
  ☆33Updated 11 months ago
• jjcherian / conditional-conformal
  A package for conformal prediction with conditional guarantees.
  ☆64Updated 7 months ago
• probabilistic-inference-scaling / probabilistic-inference-scaling
  ☆51Updated 6 months ago
• KindXiaoming / Omnigrok
  Omnigrok: Grokking Beyond Algorithmic Data
  ☆62Updated 2 years ago