Apress / modern-data-mining-algorithms-in-cpp-cuda-c
Source Code for 'Modern Data Mining Algorithms in C++ and CUDA C' by Timothy Masters
☆29Updated 4 years ago
Alternatives and similar repositories for modern-data-mining-algorithms-in-cpp-cuda-c:
Users that are interested in modern-data-mining-algorithms-in-cpp-cuda-c are comparing it to the libraries listed below
- Colab notebooks for d2l-book☆11Updated 5 years ago
- Easily benchmark Machine Learning models on selected tasks and datasets☆16Updated last year
- This repository not only contains experience about parameter finetune, but also other in-practice experience such as model ensemble (boos…☆16Updated 7 years ago
- Federated Learning Infra Architecture on Kubernetes(EKS)☆20Updated 5 years ago
- ☆9Updated last year
- The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney☆37Updated 4 years ago
- A "gym" style toolkit for building lightweight NAS systems.☆13Updated 2 years ago
- LaTeX source code for the slides☆23Updated 3 years ago
- Source Code for 'Introducing Algorithms in C' by Luciano Manelli☆18Updated 4 years ago
- ☆69Updated 5 years ago
- the public repo for stats205 scribe notes at Stanford University☆13Updated 3 years ago
- Bagua tutorials.☆12Updated 2 years ago
- CS 583: Deep Learning☆17Updated 3 years ago
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 2 years ago
- A Library for Modelling Probabilistic Hierarchical Graphical Models in PyTorch☆49Updated 4 years ago
- This implementation of DeePyMoD is no longer maintained! We switched to a PyTorch based implementation: https://github.com/PhIMaL/DeePyM…☆24Updated 4 years ago
- Learning from Graphs: From Mathematical Principles to Practical Tools☆11Updated 3 years ago
- Jupyter Notes on Computational Conformal Geometry☆13Updated 2 years ago
- Courses that use D2L books☆39Updated 2 years ago
- Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks☆13Updated 4 years ago
- Supplementary Material to accompany the paper, DJ Warne, SA Sisson, C Drovandi (2019) Acceleration of expensive computations in Bayesian…☆13Updated 4 years ago
- A python implementation of PROCLUS: PROjected CLUStering algorithm.☆10Updated 10 years ago
- ☆18Updated 5 years ago
- Kalman Optimization for Value Approximation☆10Updated 4 years ago
- A forest that is fast☆41Updated 5 years ago
- Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'☆10Updated last year
- Different Tikz templates.☆20Updated 7 years ago
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆14Updated 4 years ago
- Libraries for Scientific Computing☆10Updated 5 years ago
- Matrix Algebra on GPU and Multicore Architectures (MAGMA) source releases from http://icl.cs.utk.edu/magma/index.html☆21Updated 9 years ago