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

• paperswithcode / sotabench-api
  Easily benchmark Machine Learning models on selected tasks and datasets
  ☆16Updated last year
• roboticcam / publications
  A selection of my papers on topics ranging from Bayesian non-parametrics, Determinantal point process, Real-time computer vision, Deep le…
  ☆24Updated 3 years ago
• uvadlc / uvadlc_practicals_2021
  Repository for the code assignment of the Deep Learning 1 course, Fall 2021 edition
  ☆10Updated 2 years ago
• random-matrix-learning / slides
  LaTeX source code for the slides
  ☆23Updated 3 years ago
• probml / probml-data
  Datasets associated with pyprobml
  ☆19Updated last year
• PacktPublishing / Hands-On-GPU-Programming-with-CUDA-C-and-Python-3.x-Second-Edition
  Hands-On GPU Programming with Python and CUDA, Second Edition, published by Packt
  ☆36Updated 3 years ago
• b45ch1 / pycppad
  Python Wrapper of CppAD
  ☆20Updated 4 years ago
• shyamalschandra / causal-inference-dowhy
  causal inference in python, have been reading judea pearl's book of why
  ☆16Updated 6 years ago
• mlelarge / dataflowr-slides
  slides for deep learning courses
  ☆19Updated 4 years ago
• MikeInnes / zygote-paper
  ☆69Updated 5 years ago
• AnacondaRecipes / tensorflow_recipes
  Tensorflow conda recipes
  ☆28Updated last year
• ysh329 / awesome-deep-learning-finetune-experience
  This repository not only contains experience about parameter finetune, but also other in-practice experience such as model ensemble (boos…
  ☆16Updated 7 years ago
• thiery-lab / manifold-mcmc-for-diffusions
  Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'
  ☆10Updated last year
• d2l-ai / d2l-book-colab
  Colab notebooks for d2l-book
  ☆11Updated 5 years ago
• infovillasimius / flows
  Network Flows Optimization - Shortest Path, Max Flow and Min Cost Flow Algorithms in Python
  ☆10Updated 5 years ago
• DeepWisdom / AutoSeries2019
  ☆18Updated 5 years ago
• rjurney / weakly_supervised_learning_code
  The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney
  ☆36Updated 4 years ago
• cvxgrp / cvx_opt_risk_neutral
  Convex optimization over risk-neutral probabilities.
  ☆15Updated 4 years ago
• BaguaSys / tutorials
  Bagua tutorials.
  ☆12Updated 2 years ago
• icme / cme258
  Libraries for Scientific Computing
  ☆10Updated 5 years ago
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 3 years ago
• bob-carpenter / ad-handbook
  Automatic Differentiation Handbook
  ☆145Updated 4 years ago
• zhanghang1989 / AutoGluon-Docker
  AutoGluon Docker
  ☆13Updated 4 years ago
• sortteam / kubeFL
  Federated Learning Infra Architecture on Kubernetes(EKS)
  ☆20Updated 5 years 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…
  ☆18Updated 7 years ago
• edwardjhu / improved_wasserstein
  Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"
  ☆14Updated 4 years ago
• HIPS / DESI-MCMC
  MCMC for the Dark Energy Spectroscopic Instrument
  ☆13Updated 8 years ago
• Quansight-Labs / udiff
  Automatic differentiation with uarray/unumpy.
  ☆16Updated 3 years ago
• Henrilin28 / awesome-Interpretable-ML
  A curated list for interpretable machine learning
  ☆18Updated 6 years ago
• darrenjw / smfsb
  Documentation, models and code relating to the 3rd edition of the textbook Stochastic Modelling for Systems Biology
  ☆32Updated 2 weeks ago