Alternatives and similar repositories for Deep-Reinforcement-Learning

Users that are interested in Deep-Reinforcement-Learning are comparing it to the libraries listed below

• rasbt / stat451-machine-learning-fs21
  ☆151Updated 4 years ago
• arnabbiswas1 / kaggle_pipeline_tps_aug_22
  Kaggle Pipeline for tabular data competitions
  ☆205Updated last week
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆248Updated last month
• tunguz / TabularBenchmarks
  ☆203Updated 3 months ago
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆162Updated last month
• rasbt / pycon2024
  Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024
  ☆247Updated last year
• ostojanovic / causalML
  ☆34Updated last year
• EduardoGarrido90 / UPM_summer_school_GP_BO_course
  Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.
  ☆28Updated last year
• sscardapane / neural-networks-for-data-science
  Notebooks for a course
  ☆41Updated 6 years ago
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆105Updated 2 years ago
• mattharrison / effective_xgboost_book
  ☆295Updated 2 years ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆267Updated last week
• PacktPublishing / Machine-Learning-for-Imbalanced-Data
  Machine Learning for Imbalanced Data, published by Packt
  ☆277Updated last month
• HHU-MMBS / RepresentationLearning_SS2023
  Representation Learning MSc course Summer Semester 2023
  ☆87Updated 2 years ago
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆348Updated 4 years ago
• maziarraissi / PetGPT
  Train your own PetGPT at home!
  ☆122Updated 2 years ago
• sscardapane / reprodl2021
  Host repository for the "Reproducible Deep Learning" PhD course
  ☆408Updated 3 years ago
• rxavier / poniard
  Streamline scikit-learn model comparison.
  ☆142Updated 3 years ago
• valeman / Awesome_CatBoost
  The repository to showcase the best framework for tabular data - the Awesome CatBoost
  ☆281Updated 5 months ago
• smazzanti / are_you_still_using_elbow_method
  ☆150Updated 2 months ago
• PacktPublishing / Practical-Guide-to-Applied-Conformal-Prediction
  Practical Guide to Applied Conformal Prediction, published by Packt
  ☆195Updated this week
• Carl-McBride-Ellis / TOBoML
  The Orange Book of Machine Learning
  ☆56Updated 5 months ago
• Bellman281 / Stat4ML
  Statistics and Mathematics for Machine Learning, Deep Learning , Deep NLP
  ☆80Updated 3 years ago
• ysraell / forecasting
  Forecasting: Principles and Practice
  ☆61Updated 4 years ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆74Updated this week
• vsmolyakov / ml_algo_in_depth
  ML algorithms in depth
  ☆272Updated last year
• deep-learning-indaba / indaba-pracs-2022
  Notebooks for the Practicals at the Deep Learning Indaba 2022.
  ☆178Updated last year
• FJRubio67 / StatisticalInference
  Lecture Notes on Statistical Inference
  ☆77Updated last year
• BexTuychiev / tricking-data-science
  A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
  ☆170Updated last year
• joneswack / conformal-predictions-from-scratch
  Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
  ☆228Updated 2 years ago