Alternatives and similar repositories for agd_exp

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

• XinshaoAmosWang / DeepCriticalLearning
  Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.
  ☆31Updated 2 years ago
• remilepriol / causal-adaptation-speed
  Investigate the speed of adaptation of structural causal models
  ☆15Updated 4 years ago
• 392781 / scikit-ntk
  Neural Tangent Kernel (NTK) module for the scikit-learn library
  ☆25Updated last year
• probml / JSL
  Jax SSM Library
  ☆48Updated 3 years ago
• chziakas / backbone-learn
  A Library for Scaling Mixed-Integer Optimization-Based Machine Learning.
  ☆12Updated last year
• nec-research / tf-imle
  Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation
  ☆67Updated 3 years ago
• yannadani / cbed
  Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.
  ☆20Updated 2 years ago
• ml-jku / quam
  Quantification of Uncertainty with Adversarial Models
  ☆29Updated 2 years ago
• pronobis / libspn-keras
  Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras
  ☆48Updated 2 months ago
• cair / PyTsetlinMachineCUDA
  Massively Parallel and Asynchronous Architecture for Logic-based AI
  ☆43Updated 2 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆29Updated 5 years ago
• RobertTLange / code-and-blog
  Some small scale experiments for my blog posts 📝
  ☆79Updated 3 years ago
• tijana-zrnic / cross-ppi
  Cross-prediction-powered inference
  ☆15Updated last year
• sscardapane / hydra-tutorial
  Companion code for a tutorial on using Hydra.
  ☆30Updated 4 years ago
• juliusberner / deep_kolmogorov
  Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)
  ☆22Updated 3 years ago
• gugarosa / learnergy
  💡 Learnergy is a Python library for energy-based machine learning models.
  ☆69Updated 8 months ago
• Harshs27 / neural-graphical-models
  Neural Graphical models are neural network based graphical models that offer richer representation, faster inference & sampling
  ☆30Updated 3 months ago
• petuum / tuun
  Hyperparameter tuning via uncertainty modeling
  ☆48Updated last year
• ganguli-lab / degrees-of-freedom
  ☆37Updated 3 years ago
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 4 years ago
• avkl / twinning
  Data Twinning
  ☆25Updated 2 years ago
• microsoft / goodpoints
  A Python package for generating concise, high-quality summaries of a probability distribution
  ☆54Updated 3 weeks ago
• rug / reinforcement-learning
  A Gentle Principled Introduction to Deep Reinforcement Learning
  ☆19Updated 7 months 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 last year
• gerdm / bayes
  Neat Bayesian machine learning examples
  ☆58Updated 3 weeks ago
• jmkuebler / auto-tst
  AutoML Two-Sample Test
  ☆19Updated 3 years ago
• sayakpaul / EvoNorms-in-TensorFlow-2
  Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.
  ☆11Updated 5 years ago
• jambo6 / neuralRDEs
  Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)
  ☆120Updated 4 years ago
• edwardjhu / improved_wasserstein
  Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"
  ☆14Updated 5 years ago
• MilesCranmer / pysr_scaling_laws
  You should use PySR to find scaling laws. Here's an example.
  ☆33Updated 2 years ago