Alternatives and similar repositories for teaching

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

• uva-fact-ai-course / uva-fact-ai-course
  This repository contains implementations of algorithms proposed in recent papers from top machine learning conferences on Fairness, Accou…
  ☆33Updated 2 years ago
• munkai / pytorch-tutorial
  Deep learning and natural language processing tutorial in PyTorch
  ☆23Updated 7 years ago
• dkobak / iclr-tsne
  Visualizing ICLR submissions
  ☆16Updated 2 years ago
• dglai / dgl_winter_school
  ☆32Updated 4 years ago
• 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
  ☆45Updated 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
• krrish94 / OptimizationReadingList
  ☆10Updated 9 years ago
• LCSL / RegML
  ☆12Updated 4 years ago
• mdeff / ntds_2019
  Material for the EPFL master course "A Network Tour of Data Science", edition 2019.
  ☆69Updated 5 years ago
• alan-turing-institute / rse-course
  Materials for The Alan Turing Institute's Research Software Engineering course
  ☆257Updated 5 months ago
• mlss-skoltech / tutorials_week2
  tutorials for MLSS 2019 Skoltech
  ☆57Updated 5 years ago
• sarslancs / graph_saliency_maps
  Graph saliency maps through spectral convolutional networks for brain mapping
  ☆33Updated 7 years ago
• steverab / failing-loudly
  Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…
  ☆106Updated last year
• alan-turing-institute / Intro-to-transparent-ML-course
  An Introduction to Transparent Machine Learning
  ☆14Updated last year
• paris-saclay-cds / ramp-board
  RAMP packages: database, backend, frontend, utilities
  ☆15Updated last year
• asolin / MLSP2014-kaggle-challenge
  MLSP 2014 Schizophrenia Classification Challenge: Winning Model Documentation
  ☆19Updated 11 years ago
• reoneo97 / vae-playground
  Implementation of Variational Autoencoders using Pytorch Lightning
  ☆33Updated 2 years ago
• deep-learning-indaba / indaba-pracs-2023
  Notebooks for the Practicals at the Deep Learning Indaba 2023.
  ☆131Updated last year
• clementchadebec / pyraug
  Data Augmentation with Variational Autoencoders (TPAMI)
  ☆143Updated 3 years ago
• graviraja / pytorch-sample-codes
  ☆23Updated 6 years ago
• clarahoffmann / pycon-2023-honey-i-broke-the-pytorch-model
  Streamlit app for "Honey, I broke the PyTorch model" - Talk @ PyCon & PyData 2023
  ☆18Updated 2 years ago
• mila-iqia / ivado-mila-dl-school-2019
  IVADO/ Mila's Summer Deep Learning School
  ☆36Updated 6 years ago
• microsoft / horseshoe-bnn
  A Bayesian Neural Network with a horseshoe prior for improved interpretability
  ☆57Updated 2 years ago
• epfml / opt-shortcourse
  Short Course on Optimization for Machine Learning - Slides and Practical Lab - Pre-doc Summer School on Learning Systems, July 3 to 7, 20…
  ☆18Updated 7 years ago
• tilman151 / unittest_dl
  Example unit tests for deep learning projects.
  ☆37Updated 5 years ago
• sayakpaul / Barlow-Twins-TF
  TensorFlow implementation of Barlow Twins (https://arxiv.org/abs/2103.03230).
  ☆41Updated 4 years ago
• wwu-mmll / photonai
  PHOTONAI is a high level python API for designing and optimizing machine learning pipelines.
  ☆80Updated 3 months ago
• Synopsis / amalgam
  Extensions for the `fastai2` library in the form of data augmentations and inference utilities. Specific to computer vision models. Infer…
  ☆48Updated 2 years ago
• ciortanmadalina / high_noise_clustering
  Techniques to cluster very noisy data (dropouts or random noise)
  ☆66Updated 6 years ago
• nipunbatra / CS-Research-Methods-Bootcamp
  ☆49Updated 9 months ago