Alternatives and similar repositories for saved_models:

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

• AlxndrMlk / PyDataGlobal2021
  ☆12Updated 3 years ago
• sscardapane / hydra-tutorial
  Companion code for a tutorial on using Hydra.
  ☆29Updated 3 years ago
• koaning / scikit-prune
  Prune your sklearn models
  ☆19Updated 3 months ago
• interpretml / LLM-Tabular-Memorization-Checker
  Testing Language Models for Memorization of Tabular Datasets.
  ☆33Updated 2 weeks ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆27Updated 4 years ago
• Data-Heroes / dataheroes
  Public repository holding examples for dataheroes library
  ☆22Updated 2 months ago
• jfpuget / KaggleDays_Paris_2022
  Slides for my presentation
  ☆20Updated 2 years ago
• giuseppefutia / notebooks
  Jupyter notebooks for testing ML models
  ☆21Updated 3 years ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆21Updated 2 years ago
• wissam-sib / calibrated_metrics
  Implementation of calibrated precision and calibrated metrics
  ☆13Updated 4 years ago
• scottire / fastpages
  ☆21Updated last year
• Mayo-Radiology-Informatics-Lab / conflare
  This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.
  ☆18Updated 9 months ago
• isgibbs / DtACI
  ☆15Updated 9 months ago
• vacquaviva / IntroConformalPredictions
  A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…
  ☆12Updated 6 months ago
• facebookarchive / fronni
  machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast
  ☆16Updated 3 years ago
• fritshermans / pyminhash
  MinHash implementation in Python
  ☆11Updated 5 months ago
• yannadani / cbed
  Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.
  ☆19Updated 2 years ago
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆128Updated 2 years ago
• brohrer / parameter_efficiency_leaderboard
  The most parameter efficient machine learning models on a few popular benchmarks
  ☆42Updated 2 years ago
• Graphlet-AI / graphml-class
  Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques
  ☆71Updated last month
• Keiku / PyTorch-Lightning-CIFAR10
  "Not too complicated" training code for CIFAR-10 by PyTorch Lightning
  ☆11Updated 2 years ago
• david-rundel / tabpfn_iml
  Interpretable ML for TabPFN
  ☆14Updated 9 months ago
• d-kleine / NER_decoder
  Named Entity Recognition with an decoder-only (autoregressive) LLM using HuggingFace
  ☆40Updated 2 months ago
• adalmia96 / umap-mnn
  ☆23Updated 3 years ago
• ganguli-lab / degrees-of-freedom
  ☆36Updated 2 years ago
• XinshaoAmosWang / DeepCriticalLearning
  Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.
  ☆31Updated 2 years ago
• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆63Updated 6 months ago
• nazneenrajani / interpreting-ml-models-course
  Course for Interpreting ML Models
  ☆52Updated last year
• HazyResearch / mandoline
  (ICML 2021) Mandoline: Model Evaluation under Distribution Shift
  ☆31Updated 3 years ago
• TutteInstitute / vectorizers
  Vectorizers for a range of different data types
  ☆99Updated 2 months ago