Apress / modern-data-mining-algorithms-in-cpp-cuda-cLinks
Source Code for 'Modern Data Mining Algorithms in C++ and CUDA C' by Timothy Masters
☆30Updated 5 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
Sorting:
- Automatic Differentiation Handbook☆148Updated 4 years ago
- ☆85Updated 4 years ago
- Easily benchmark Machine Learning models on selected tasks and datasets☆16Updated 2 years ago
- Books with Jupyter notebooks☆256Updated last year
- Stride visualizations☆38Updated 7 years ago
- Federated Learning Infra Architecture on Kubernetes(EKS)☆19Updated 5 years ago
- A selection of my papers on topics ranging from Bayesian non-parametrics, Determinantal point process, Real-time computer vision, Deep le…☆24Updated 4 years ago
- SLIDE (Sub-LInear Deep learning Engine) written in Go☆45Updated 5 years ago
- ⛰️ RockyML - A High-Performance Scientific Computing Framework for Non-smooth Machine Learning Problems☆19Updated 2 years ago
- Datasets associated with pyprobml☆20Updated 2 years ago
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 3 years ago
- Automatically Generated Notebooks for Colab☆39Updated 2 years ago
- Sample Code for “Sequential and Parallel Algorithms and Data Structures -- The Basic Toolbox” Book☆25Updated 7 years ago
- A forest that is fast☆41Updated 6 years ago
- Easily benchmark machine learning models in PyTorch☆148Updated last year
- Supplementary Material to accompany the paper, DJ Warne, SA Sisson, C Drovandi (2019) Acceleration of expensive computations in Bayesian…☆13Updated 4 years ago
- Event-Triggered Communication in Parallel Machine Learning☆28Updated 3 years ago
- All you need for MATH5411 Advanced Probability, 2020 Fall, HKUST, Lecturer BAO Zhigang.☆56Updated 4 years ago
- ☆70Updated 5 years ago
- Interactive visualization of Gaussian processes☆171Updated 2 years ago
- Optimization Models and Algorithms☆16Updated 3 months ago
- Hyperparameter tuning via uncertainty modeling☆47Updated last year
- ☆85Updated 2 years ago
- Fast Differentiable Forest lib with the advantages of both decision trees and neural networks☆78Updated 3 years ago
- Time series forecasting with PyTorch☆83Updated last week
- Tutorials for Horovod☆85Updated 3 years ago
- Bayesian Inference and parameter estimation in quant finance.☆42Updated 6 years ago
- Learning from Graphs: From Mathematical Principles to Practical Tools☆11Updated 4 years ago
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆84Updated 3 years ago
- A Gentle Principled Introduction to Deep Reinforcement Learning☆19Updated 5 months ago