Alternatives and similar repositories for ensemble_tutorial:

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

• sscardapane / hydra-tutorial
  Companion code for a tutorial on using Hydra.
  ☆29Updated 3 years ago
• rupak-roy / VQGAN-CLIP
  ☆10Updated 2 years ago
• muellerzr / fastai2-Tabular-Baselines
  A few baselines with a standard tabular model
  ☆38Updated 4 years ago
• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 4 years ago
• reddragon / efficient-dl-survey-paper
  Efficient Deep Learning Survey Paper
  ☆33Updated 2 years ago
• XinshaoAmosWang / DeepCriticalLearning
  Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.
  ☆31Updated 2 years ago
• uvadlc / uvadlc_practicals_2021
  Repository for the code assignment of the Deep Learning 1 course, Fall 2021 edition
  ☆10Updated 2 years ago
• ben-arnao / StoRM
  A neural network hyper parameter tuner
  ☆30Updated last year
• matt-graham / phd-thesis
  Auxiliary variable Markov chain Monte Carlo methods
  ☆10Updated 7 years ago
• moorecsys / moorecsys.github.io
  Tutorial on Multi-Objective Recommender Systems @ KDD 2021
  ☆19Updated 2 years ago
• taposh / forecast
  Forecasting library in python
  ☆13Updated 5 years ago
• gomerudo / nas-env
  A simple OpenAI Gym environment for Neural Architecture Search (NAS)
  ☆30Updated 5 years ago
• lrjball / shap
  A game theoretic approach to explain the output of any machine learning model.
  ☆14Updated 3 years ago
• christophmark / bayesianfridge
  Sequential Monte Carlo sampler for PyMC2 models.
  ☆13Updated 7 years ago
• ml-jku / quam
  Quantification of Uncertainty with Adversarial Models
  ☆28Updated last year
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 4 years ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆22Updated 2 years ago
• jinglingli / nn-extrapolate
  ☆13Updated 2 years ago
• automl / DE-NAS
  ☆20Updated 3 years ago
• tankwin08 / ensemble-models-ML-DL-
  Ensemble models, machine learning, deep learning, optimization
  ☆13Updated 4 years ago
• stevinc / TheColorOutOfSpace
  Pytorch code for the paper "The color out of space: learning self-supervised representations for Earth Observation imagery"
  ☆18Updated 3 years ago
• mtszkw / surface-crack
  Surface crack images classification using PyTorch Lightning
  ☆11Updated 4 years ago
• automl / learning_environments
  We propose an evolution-based approach to meta-learn synthetic neural environments and reward neural networks for reinforcement learning.
  ☆21Updated 2 years ago
• ganguli-lab / degrees-of-freedom
  ☆37Updated 3 years ago
• hadyelsahar / EBM-visualizations
  notebooks of cool EBM visualizations
  ☆15Updated 4 years ago
• sylvaincom / comparison-distributions
  [Python] Comparison of empirical probability distributions. Integral probability metrics (e.g. Kantorovich metric). f-divergences (e.g. K…
  ☆11Updated 2 years ago
• rmunro / uncertainty_sampling_numpy
  NumPy implementations of common Active Learning strategies for Uncertainty Sampling
  ☆27Updated 5 years ago
• sayakpaul / Barlow-Twins-TF
  TensorFlow implementation of Barlow Twins (https://arxiv.org/abs/2103.03230).
  ☆41Updated 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
• ai-fast-track / fastai-visual-guide
  Notebooks for Fastai Viusal Guide
  ☆25Updated 2 years ago