AiningWang / Matrix-Multiplication-using-MapReduceLinks
implement by naive algorithm(without partition) and advanced algorithm(with partition)
☆8Updated 7 years ago
Alternatives and similar repositories for Matrix-Multiplication-using-MapReduce
Users that are interested in Matrix-Multiplication-using-MapReduce are comparing it to the libraries listed below
Sorting:
- Mining of Massive Datasets - Stanford☆9Updated 7 years ago
- ♊ Stanford CS230 : Deep Learning☆16Updated 6 years ago
- Homework for Deep Unsupervised Learning (CS294-158) course☆26Updated 5 years ago
- Computer Vision Tutorial for Deep Learning Researchers☆33Updated 5 years ago
- My Master Thesis on Distributed Deep Learning (parallelizing gradient descent) and other concepts I did during my research.☆26Updated 8 years ago
- A collection of resources about deep reinforcement learning☆24Updated 8 years ago
- The following code is a simple XGBoost model developed using numpy. Tha main purpose of this code is to unveil the maths behind XGBoost.☆14Updated 6 years ago
- ☆87Updated last year
- Recommender built using keras☆35Updated 7 years ago
- Public tutorials and code that accompanies articles☆40Updated 7 years ago
- Word2Vec implementation using numpy☆94Updated 5 years ago
- Programming Assignments and Lectures for UC Berkeley's CS 294: Deep Reinforcement Learning☆56Updated 7 years ago
- Tensorflow implementation of deep residual learning☆15Updated 8 years ago
- Data Analytics and Machine Learning project for a University of Toronto graduate course.☆35Updated 8 years ago
- User-based Collaborative Filtering in Python☆19Updated 9 years ago
- ☆66Updated 2 years ago
- Full papers related to the Recommender System from SIGIR 2020☆22Updated 5 years ago
- [Python3.6] IEEE Paper "Matrix Factorization Techniques for Recommender Systems" by Koren,Bell,Volinsky☆30Updated 6 years ago
- ☆13Updated 5 years ago
- Project structure of Deep Learning experiments☆12Updated 7 years ago
- My solutions to Coursera hosted Bayesian methods course. (https://www.coursera.org/learn/bayesian-methods-in-machine-learning)☆27Updated 7 years ago
- Notes for papers or blog posts about ML, Robotics, CV.☆15Updated 6 years ago
- ☆42Updated 6 years ago
- (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"☆24Updated 2 years ago
- In this project, we will revisit the problem central to recommender systems: predicting a user’s preference for some item they have not y…☆25Updated 8 years ago
- MovieLens Recommender System☆12Updated 8 years ago
- My homework solutions for UC Berkeley CS294: deep unsupervised learning☆14Updated 2 years ago
- ☆32Updated 7 years ago
- ☆34Updated 8 years ago
- Implemented Split-Brain Autoencoder by Zhang et al.☆8Updated 6 years ago