Alternatives and similar repositories for deep-learning-with-pytorch:

Users that are interested in deep-learning-with-pytorch are comparing it to the libraries listed below

• TomasBeuzen / python-programming-for-data-science
  Content from the University of British Columbia's Master of Data Science course DSCI 511.
  ☆86Updated last year
• JesperDramsch / ml.recipes
  Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tut…
  ☆74Updated 2 months ago
• rocketmlhq / rmldnn
  RocketML Deep Neural Networks
  ☆41Updated 2 years ago
• AllenDowney / BayesianInferencePyMC
  Workshop on Bayesian inference using PyMC
  ☆27Updated 3 years ago
• matplotlib / GettingStarted
  Scipy 2019 Tutorial
  ☆35Updated 5 years ago
• AidanCooper / shap-analysis-guide
  How to Interpret SHAP Analyses: A Non-Technical Guide
  ☆51Updated 3 years ago
• vcerqueira / tsa4climate
  Tackling Climate Change with Time Series Analysis and Forecasting
  ☆31Updated last year
• ArturoAmorQ / euroscipy_2022_evaluation
  ☆18Updated last year
• fonnesbeck / probabilistic_python
  PyData London 2022 Tutorial
  ☆66Updated 2 years ago
• rougier / 2021-Dataviz
  Material for dataviz course at university of Bordeaux
  ☆50Updated 3 years ago
• NFAcademy / 2021_course_dev-rougier
  NumFocus Academy - Matplotlib (beginner)
  ☆56Updated 3 years ago
• smazzanti / are_you_still_using_elbow_method
  ☆150Updated last year
• rasbt / stat451-machine-learning-fs21
  ☆146Updated 3 years ago
• bronwojtek / neuralnets-in-raw-python
  Sources for book "Explaining neural networks in raw Python: lectures in Jupyter"
  ☆37Updated last year
• BexTuychiev / medium_stories
  A repository containing data and files for my stories on Medium.com.
  ☆56Updated 2 weeks ago
• TNanukem / paper_implementations
  This repository holds my paper implementations made for my studies and my content production
  ☆35Updated 4 months ago
• sophiamyang / hvplot_interactive
  ☆71Updated 2 years ago
• 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.
  ☆26Updated 7 months ago
• frankligy / ScPyT
  Scientific Computing in Python, a practical and ultimate tutorials
  ☆13Updated last year
• The-AI-Summer / Introduction-to-Deep-Learning-and-Neural-Networks-Course
  Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io
  ☆41Updated 3 years ago
• mohd-faizy / Probabilistic-Deep-Learning-with-TensorFlow
  Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…
  ☆63Updated 2 months ago
• Jako-K / schedulerplotter
  Simple GUI for PyTorch's learning rate schedulers
  ☆12Updated 8 months ago
• tee-lab / PyDaddy
  Python package to discover stochastic differential equations from time series data
  ☆93Updated last month
• koaning / scikit-mdn
  A mixture density network, by PyTorch, for scikit-learn
  ☆22Updated 2 months ago
• tvhahn / Manufacturing-Data-Science-with-Python
  Data science applied to problems in manufacturing (and some other ML stuff too).
  ☆12Updated 3 years ago
• dunnkers / fseval
  Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀
  ☆18Updated last year
• ThomasMBury / ewstools
  Python package for early warning signals (EWS) of bifurcations in time series data.
  ☆82Updated last week
• gianlucamalato / collinearity
  A Python libreary for removing collinearity
  ☆28Updated 3 years ago
• conorosully / medium-articles
  Code used to obtain results for my medium articles
  ☆73Updated last year
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆51Updated 2 years ago