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:
- 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
- Hands-On GPU Programming with Python and CUDA, Second Edition, published by Packt☆37Updated 4 years ago
- Books with Jupyter notebooks☆257Updated last year
- ☆85Updated 4 years ago
- Fast Differentiable Forest lib with the advantages of both decision trees and neural networks☆79Updated 3 years ago
- Time series forecasting with PyTorch☆83Updated last month
- Easily benchmark Machine Learning models on selected tasks and datasets☆16Updated 2 years ago
- ☆101Updated 2 weeks ago
- A comparison of some conformal quantile regression methods.☆14Updated 6 years ago
- All you need for MATH5411 Advanced Probability, 2020 Fall, HKUST, Lecturer BAO Zhigang.☆56Updated 4 years ago
- Automatic machine learning for tabular data. ⚡🔥⚡☆70Updated 3 years ago
- Federated Learning Infra Architecture on Kubernetes(EKS)☆19Updated 5 years ago
- Jupyter notebooks for the code samples of the book "Automated Machine Learning in Action"☆97Updated 2 years ago
- MarketGPT: Developing a Pre-trained transformer (GPT) for Modeling Financial Time Series☆15Updated last month
- Talk Materials for "Convex Optimization for Finance"☆29Updated 2 years ago
- Courses that use D2L books☆39Updated 3 years ago
- A machine learning competition in Automated Deep Learning (AutoDL), co-organized by ChaLearn, Google and 4Paradigm. Accepted at NeurIPS 2…☆22Updated 4 years ago
- Implementation of term structure model project☆21Updated 9 years ago
- Convex optimization over risk-neutral probabilities.☆15Updated 5 years ago
- The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney☆36Updated 4 years ago
- Interactive visualization of Gaussian processes☆172Updated 2 years ago
- ☆15Updated 4 years ago
- Examples and demos showing how to call functions from the nAG Library for Python☆66Updated 10 months ago
- Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。☆108Updated 3 years ago
- GNU Linear Programming Kit☆49Updated 4 years ago
- Bayesian Inference and parameter estimation in quant finance.☆43Updated 6 years ago
- Materials for a short course on convex optimization.☆348Updated 3 weeks ago
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 3 years ago
- The Economic Simulation Library provides an extensive collection of tools to develop, test, analyse and calibrate economic and financial…☆69Updated last week
- ☆60Updated 3 years ago