Alternatives and similar repositories for A-_Guide_-to_Data_Sciecne_from_mathematics

Users that are interested in A-_Guide_-to_Data_Sciecne_from_mathematics are comparing it to the libraries listed below

• niaohe / Convex-Optimization-Course
  Repository for my convex optimization course.
  ☆54Updated 4 years ago
• shiernee / Advanced_ML
  ☆81Updated 2 years ago
• sailinglab / pgm-spring-2019
  Course webpage for PGM, Spring 2019.
  ☆76Updated 4 years ago
• niaohe / Big-Data-Optimization-Course
  Repository for my Big Data Optimization course
  ☆34Updated 4 years ago
• isolabs / gnn-tutorial
  ☆28Updated 3 years ago
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆86Updated 6 years ago
• lwehbe / 10606607_M20
  ☆14Updated 4 years ago
• benedekrozemberczki / spatiotemporal_datasets
  Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
  ☆60Updated last year
• raamana / kernelmethods
  Foundational library for Kernel methods in pattern analysis and machine learning
  ☆42Updated 2 years ago
• AnirudhDagar / MessagePassing_for_GNNs
  Experiments with Message Passing GNNs in C++ and PyTorch.
  ☆26Updated 11 months ago
• djrusso / Dynamic-Optimization-Course
  Website for a doctoral course on Dynamic Optimization
  ☆19Updated last year
• cshjin / awesome-nonconvex-optimization
  A collection of papers and readings for non-convex optimization
  ☆31Updated 6 years ago
• YinTat / optimizationbook
  ☆140Updated last month
• akhauriyash / MathForCS_ML
  Contains important notes/definitions/propositions from the book Algebra, Topology, Differential Calculus, and Optimization Theory for Com…
  ☆45Updated 5 years ago
• Doraemonzzz / Convex-Optimization
  记录学习凸优化的笔记
  ☆26Updated 4 years ago
• harsh306 / awesome-nn-optimization
  Awesome list for Neural Network Optimization methods.
  ☆79Updated 4 months ago
• LFhase / Learning_CS224w
  My approach to CS224w [AT] Stanford 2019 : )
  ☆124Updated 4 years ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆64Updated 2 years ago
• Dolores2333 / MATH5411
  All you need for MATH5411 Advanced Probability, 2020 Fall, HKUST, Lecturer BAO Zhigang.
  ☆55Updated 4 years ago
• GuangfuWang / geometric-deep-learning-chinese-translation-scripts
  ☆26Updated 3 years ago
• Zhenyu-LIAO / RMT4ML
  Matlab Notebook for visualizing random matrix theory results and their applications to machine learning
  ☆123Updated 2 years ago
• master / tensorflow-riemopt
  A library for optimization on Riemannian manifolds
  ☆110Updated 2 months ago
• vikashg / Geometry-Reading-list
  A curated list of reading material and lecture notes for all things geometry. Mostly focussed on differential and Riemannian geometry wit…
  ☆20Updated 7 years ago
• LARS-research / AutoML-Tutorial
  Tutorials about AutoML
  ☆85Updated 3 years ago
• martinResearch / PySparseLP
  python algorithms to solve sparse linear programming problems
  ☆31Updated 2 years ago
• grasool / Gaussian-Processes
  Introduction to Gaussian Processes
  ☆29Updated 7 years ago
• mdeff / pygsp_tutorial_graphsip
  Graph signal processing tutorial, presented at the GraphSiP summer school.
  ☆76Updated 6 years ago
• vsmolyakov / DP_means
  Dirichlet Process K-means
  ☆48Updated last year
• dglai / dgl_winter_school
  ☆32Updated 4 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
  ☆114Updated last year