Alternatives and similar repositories for Big-Data-Optimization-Course

Users that are interested in Big-Data-Optimization-Course are comparing it to the libraries listed below

• niaohe / Convex-Optimization-Course
  Repository for my convex optimization course.
  ☆53Updated 4 years ago
• facebookresearch / amortized-optimization-tutorial
  Tutorial on amortized optimization for learning to optimize over continuous domains
  ☆249Updated 3 months ago
• udellgroup / orie7191
  Materials for ORIE 7191: Topics in Optimization for Machine Learning
  ☆46Updated 6 years ago
• tengyuma / cs229m_notes
  ☆241Updated 3 years ago
• fbach2000 / Learning_Theory_from_First_Principles
  Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach
  ☆134Updated last year
• Zhenyu-LIAO / RMT4ML
  Matlab Notebook for visualizing random matrix theory results and their applications to machine learning
  ☆135Updated 2 years ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆35Updated 4 years ago
• google-deepmind / mc_gradients
  ☆172Updated last year
• cshjin / awesome-nonconvex-optimization
  A collection of papers and readings for non-convex optimization
  ☆31Updated 6 years ago
• mstaib / mmd-dro-code
  Accompanying code for our NeurIPS 2019 paper
  ☆12Updated 6 years ago
• YinTat / optimizationbook
  ☆148Updated this week
• benchopt / benchmark_bilevel
  Benchmark for bi-level optimization solvers
  ☆50Updated 7 months ago
• bamos / presentations
  ☆141Updated last month
• jj-zhu / kdro
  Code for the paper: Kernel Distributionally Robust Optimization
  ☆13Updated 4 years ago
• ee227c / ee227c.github.io
  EE227C (Spring 2018) Course page
  ☆229Updated 4 years ago
• OptMLGroup / SQN
  Sampled Quasi-Newton Methods for Deep Learning
  ☆21Updated 5 years ago
• JmlrOrg / jmlr-style-file
  LaTeX style file for the Journal of Machine Learning Research
  ☆160Updated last year
• daniellevy / fast-dro
  PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets
  ☆63Updated 3 years ago
• martius-lab / CombOptNet
  Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
  ☆72Updated 3 years ago
• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆224Updated last year
• tristandeleu / jax-comln
  Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)
  ☆25Updated 3 years ago
• UCLAIS / neural-ode-tutorial
  Repository for tutorial on Neural ODEs prepared for the UCL AI Society
  ☆13Updated 4 years ago
• facebookresearch / LANCER
  Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"
  ☆38Updated 2 years ago
• rkimura47 / cmu-comp-or
  A series of tutorials for conducting computational experiments with optimization solvers
  ☆89Updated last year
• jiupinjia / Visualize-Optimization-Algorithms
  Visualization of numerical optimization algorithms
  ☆97Updated 5 years ago
• kushagra06 / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆122Updated 7 years ago
• ds4dm / ml4co-competition
  Machine Learning for Combinatorial Optimization - NeurIPS'21 competition
  ☆139Updated 3 years ago
• florist-notes / CS228_PGM
  🌲 Stanford CS 228 - Probabilistic Graphical Models
  ☆153Updated last year
• otokonoko8 / deep-Bayesian-nonparametrics-papers
  The collection of papers about combining deep learning and Bayesian nonparametrics
  ☆122Updated 6 years ago
• LaurenceA / bayesfunc
  ☆15Updated 3 years ago