Alternatives and similar repositories for jolt

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

• requeima / llm_processes
  ☆65Updated 6 months ago
• google-research / optformer
  ☆230Updated last month
• etimush / ARC_NCA
  Repo for solving arc problems with an Neural Cellular Automata
  ☆19Updated 4 months ago
• blei-lab / treeffuser
  Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion …
  ☆49Updated 3 weeks ago
• Rose-STL-Lab / AutoSTPP
  Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…
  ☆25Updated 11 months ago
• ml-jku / hopfield-boosting
  ☆33Updated last year
• ExtensityAI / benchmark
  Evaluation of neuro-symbolic engines
  ☆39Updated last year
• EdinburghNLP / torch-adaptive-imle
  ☆35Updated 10 months ago
• ml-jku / quam
  Quantification of Uncertainty with Adversarial Models
  ☆29Updated 2 years ago
• NVlabs / Forecasting-Model-Search
  A system for automating selection and optimization of pre-trained models from the TAO Model Zoo
  ☆25Updated last year
• keyonvafa / world-model-evaluation
  ☆65Updated 10 months ago
• LiibanMo / scikit-jax
  Your favourite classical machine learning algos on the GPU/TPU
  ☆20Updated 9 months ago
• GFNOrg / dt-gfn
  This repository contains code for the paper "Learning Decision Trees as Amortized Structure Inference"
  ☆15Updated 6 months ago
• EleutherAI / features-across-time
  Understanding how features learned by neural networks evolve throughout training
  ☆39Updated 11 months ago
• Bradley-Butcher / Conformers
  Unofficial implementation of Conformal Language Modeling by Quach et al
  ☆29Updated 2 years ago
• ssokota / mec
  Code for minimum-entropy coupling.
  ☆32Updated last year
• kmkolasinski / nano-umap
  Simplified implementation of UMAP like dimensionality reduction algorithm
  ☆50Updated 10 months ago
• ServiceNow / context-is-key-forecasting
  Context is Key: A Benchmark for Forecasting with Essential Textual Information
  ☆79Updated last month
• nikitadhawan / natural
  ☆43Updated 11 months ago
• nate-gillman / fourier-head
  Official implementation of "Fourier Head: Helping Large Language Models Learn Complex Probability Distributions" (ICLR 2025)
  ☆66Updated 6 months ago
• brantondemoss / GrokkingComplexity
  Code for
  ☆27Updated 9 months ago
• christopher-beckham / coms-are-energy-models
  Official code for paper: Conservative objective models are a special kind of contrastive divergence-based energy model
  ☆14Updated 2 years ago
• microsoft / ticl
  Tabular In-Context Learning
  ☆92Updated 6 months ago
• taufeeque9 / codebook-features
  Sparse and discrete interpretability tool for neural networks
  ☆63Updated last year
• MengLiuPurdue / Graph-Topological-Data-Analysis
  ☆44Updated 2 years ago
• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆67Updated last year
• williamgilpin / shrec
  Reconstructing shared causal drivers from noisy time series
  ☆57Updated 11 months ago
• KaiNylund / lm-weights-encode-time
  ☆69Updated last year
• luo-lorry / conformal-load-forecasting
  ☆14Updated 7 months ago
• HEmile / neurosymbolic-diffusion
  We integrate discrete diffusion models with neurosymbolic predictors for scalable and calibrated learning and reasoning
  ☆49Updated last week