Alternatives and similar repositories for OptimizationReadingList

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

• mdeff / learning-from-graphs-webconf2021
  Learning from Graphs: From Mathematical Principles to Practical Tools
  ☆11Updated 4 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
• hibayesian / awesome-graph-learning-papers
  A curated list of graph learning papers, articles, tutorials, slides and projects
  ☆30Updated 4 years ago
• rjurney / weakly_supervised_learning_code
  The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney
  ☆36Updated 4 years ago
• PiotrTa / Mining-Massive-Datasets
  Data mining algorithms with Python
  ☆10Updated 6 years ago
• wolfecameron / optimizers
  implements various optimizers from scratch for analysis and comparison
  ☆9Updated 5 years ago
• abidlabs / AtomsOfDeepLearning
  Simple Experiments to Give Some Intuition behind Deep Neural Networks
  ☆38Updated 7 years ago
• matt-graham / phd-thesis
  Auxiliary variable Markov chain Monte Carlo methods
  ☆10Updated 7 years ago
• sayakpaul / Adversarial-Examples-in-Deep-Learning
  Shows how to create basic image adversaries, and train adversarially robust image classifiers (to some extent).
  ☆12Updated 4 years ago
• cemoody / flexi_hash_embedding
  PyTorch Flexible Hash Embeddings
  ☆28Updated 5 years ago
• david-abel / rl_info_theory
  A collection of code investigating the use of information theory for abstractions in RL
  ☆16Updated 6 years ago
• Ifiokcharles / COVID-19-Anti-viral-cure-using-deep-reinforcement-learning
  ☆20Updated 5 years ago
• titu1994 / tf-sha-rnn
  Tensorflow port implementation of Single Headed Attention RNN
  ☆16Updated 5 years ago
• sortteam / kubeFL
  Federated Learning Infra Architecture on Kubernetes(EKS)
  ☆19Updated 5 years ago
• M-68 / ActivationFunctions
  Implementing activation functions from scratch in Tensorflow.
  ☆36Updated 3 years ago
• rishabhk108 / OptimizationML
  Material for my course: Optimization in Machine Learning
  ☆31Updated 4 years ago
• dennybritz / representation-learning
  Unsupervised Deep Learning and Representation Learning Tutorial
  ☆13Updated 9 years ago
• epfml / opt-summerschool
  Short Course on Optimization for Machine Learning - Slides and Practical Labs - DS3 Data Science Summer School, June 24 to 28, 2019, Pari…
  ☆20Updated 5 years ago
• ethanhe42 / An-Analysis-of-Single-Layer-Networks-in-Unsupervised-Feature-Learning
  Implementation for: An Analysis of Single-Layer Networks in Unsupervised Feature Learning
  ☆18Updated 3 years ago
• jfpuget / Kaggle_TrackML
  Code for the TrackML competition on Kaggle
  ☆16Updated 4 years ago
• dbenielli / scikit-multimodallearn
  This Python package implements algorithms for multiviews (multimodals) learning
  ☆14Updated 9 months ago
• shagunsodhani / talks
  ☆14Updated 8 months ago
• kiankd / corel2019
  Code for AAAI 2019 Network Interpretability workshop paper
  ☆16Updated 3 years ago
• hadyelsahar / EBM-visualizations
  notebooks of cool EBM visualizations
  ☆15Updated 4 years ago
• bobflagg / gibbs-sampling-for-the-uninitiated
  Python implementation of Gibbs sampling for the naı̈ve Bayes model presented by Resnik and Hardisty
  ☆14Updated 7 years ago
• bhattbhavesh91 / auto-regressive-time-series-model
  Implementing Time Series Auto Regressive Model (AR Model) from Scratch in Python
  ☆15Updated 4 years ago
• nhaselow / Audio-Classification-Using-Convolutional-Neural-Networks
  Stats 479 Project
  ☆22Updated 6 years ago
• xbresson / CE9010_2018
  Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18
  ☆52Updated 6 years ago
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 8 years ago
• xbresson / CE7454_2018
  Deep learning course CE7454, 2018
  ☆78Updated 5 years ago