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

• Abhishek-Arora / Scalable-Matrix-Multiplication-on-Apache-Spark
  This project aims at providing a scalable approach to matrix multiplication, which is one of the most used step in machine learning.
  ☆14Updated 9 years ago
• dzenanh / mmds
  Mining of Massive Datasets - Stanford
  ☆10Updated 7 years ago
• PiotrTa / Mining-Massive-Datasets
  Data mining algorithms with Python
  ☆10Updated 5 years ago
• nerdai / MMDS_Exercises
  Solutions to the Exercises found in Mining Massive Datasets
  ☆39Updated 8 years ago
• jootse84 / mining-massive-datasets
  MMD solutions for Stanford CS246 in R
  ☆13Updated 8 years ago
• giuseppefutia / word2vec
  Word2Vec in pure Python
  ☆17Updated 6 years ago
• graykode / vision-tutorial
  Computer Vision Tutorial for Deep Learning Researchers
  ☆33Updated 5 years ago
• mbh038 / UCSD-Big-Data
  ☆11Updated 9 years ago
• keon / deeptravel
  Solving Traveling Salesman Problem (TSP) using Deep Learning
  ☆33Updated 8 years ago
• yunjey / cs224d
  stanford cs224d 2016 assignment
  ☆18Updated 8 years ago
• llSourcell / Sensor_Networks
  This is the code for "Sensor Networks" By Siraj Raval on Youtube as part of the Move 37 Course
  ☆37Updated 6 years ago
• IndicoDataSolutions / SuperCell
  Public tutorials and code that accompanies articles
  ☆40Updated 6 years ago
• joosthub / pytorch-nlp-tutorial-ny2018
  PyTorch NLP tutorial, O'Reilly AI NYC 2018
  ☆25Updated 6 years ago
• j-cunanan / MLT-contributions
  ☆22Updated 4 years ago
• apaszke / examples
  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
  ☆10Updated 5 years ago
• kushagra06 / CS230_DL
  ♊ Stanford CS230 : Deep Learning
  ☆15Updated 6 years ago
• davidrosenberg / ml2018
  DSGA-1003: Machine Learning and Computational Statistics, Spring 2018
  ☆26Updated 2 years ago
• fastforwardlabs / ldaworkshop
  LDA workshop presented by Fast Forward Labs
  ☆15Updated 5 years ago
• GeniSysAI / Vision2018
  The GeniSys TASS Devices & Applications use Siamese Neural Networks and Triplet Loss to classify known and unknown faces.
  ☆18Updated 6 years ago
• AdeelMufti / DifferentiableNeuralComputer
  Optimized Differentiable Neural Computer In Chainer
  ☆23Updated 6 years ago
• cmmp / pyproclus
  A python implementation of PROCLUS: PROjected CLUStering algorithm.
  ☆10Updated 10 years ago
• Cyanogenoid / perm-optim
  [ICLR 2019] Learning Representations of Sets through Optimized Permutations
  ☆36Updated 5 years ago
• philippe554 / MANN
  Neural Turing Machine
  ☆13Updated 6 years ago
• Sid11 / XGBoost-Using-Numpy
  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 5 years ago
• tofti / python-kmeans
  Python Implementation of k-means clustering
  ☆26Updated 3 years ago
• anki1909 / Recruit-Restaurant-Visitor-Forecasting
  6th place solution for Recruit-Restaurant-Visitor-Forecasting
  ☆17Updated 7 years ago
• mansipatel2508 / Yelp-Review-Stars-Prediction-with-Machine-Learning
  The project has text vectorization, handling big data with merging and cleaning the text and getting the required columns while boosting …
  ☆8Updated 5 years ago
• dalgu90 / splitnet-imagenet22k
  SplitNet implemented based on ResNet-50 trained on ImageNet-22K
  ☆16Updated 6 years ago
• actionml / contextual-bandit
  ☆20Updated 8 years ago
• grigorisg9gr / rocgan
  Chainer implementation of the paper Robust Conditional Generative Adversarial Networks
  ☆15Updated 4 years ago