Alternatives and similar repositories for CMU-18645-How-To-Write-Fast-Code

Users that are interested in CMU-18645-How-To-Write-Fast-Code are comparing it to the libraries listed below

• dlsys-course / examples
  Example codes appears in lectures
  ☆23Updated 3 years ago
• yuyilei / MIT-6.824
  Code and notes for MIT 6.824 Distributed Systems Class https://pdos.csail.mit.edu/6.824/schedule.html
  ☆19Updated 5 years ago
• suriya / coursera-intro-recommendation-systems
  Programming assignments for Introduction to Recommendation Systems course on Coursera.org
  ☆16Updated 4 years ago
• pooyanjamshidi / mls
  CSCE 585 - Machine Learning Systems
  ☆39Updated this week
• Shujian2015 / Kaggle-Mercari
  32/2384 Solution to Kaggle Mercari Competition (solo silver medal winner)
  ☆21Updated 7 years ago
• dhdepddl / Mining-Massive-Data-Sets
  Stanford CS246 Mining Massive Data Sets course HW
  ☆15Updated 8 years ago
• dipanjanS / BerkeleyX-CS190.1x-Scalable-Machine-Learning
  This repository contains code files specifically IPython notebooks for the assignments in the course "Scalable Machine Learning" by UC Be…
  ☆31Updated 10 years ago
• davidrosenberg / ml2018
  DSGA-1003: Machine Learning and Computational Statistics, Spring 2018
  ☆26Updated 2 years ago
• ucla-labx / distbelief
  Implementing Google's DistBelief paper
  ☆114Updated 2 years ago
• kushagra06 / CS230_DL
  ♊ Stanford CS230 : Deep Learning
  ☆16Updated 6 years ago
• HazyResearch / cs145-notebooks-2016
  Public materials for the Fall 2016 offering of CS145
  ☆34Updated 8 years ago
• mennanov / nlp-coursera
  Introduction to Natural Language Processing by Dragomir R. Radev, Ph.D.
  ☆10Updated 9 years ago
• ZeyuChen / Coursera_NLP
  The programming assignments of Natural Language Processing by Michael Collins on Coursera
  ☆14Updated 12 years ago
• d2l-ai / notebooks
  ☆69Updated 6 years ago
• ljk628 / ML-Systems
  papers on scalable and efficient machine learning systems
  ☆192Updated 7 years ago
• stanford-futuredata / cs145-2017
  ☆44Updated 7 years ago
• d2l-ai / 1day-notebooks
  ☆76Updated 6 years ago
• yoavfreund / UCSD_BigData_2016
  ☆39Updated 6 years ago
• jayinai / how-to-kaggle
  A research into the workflow for Kaggle competition (and data science in general) collaboratively
  ☆48Updated 8 years ago
• jootse84 / mining-massive-datasets
  MMD solutions for Stanford CS246 in R
  ☆13Updated 8 years ago
• dlsys-course / lab1
  ☆15Updated 7 years ago
• DanielTakeshi / Interview_Practice
  Practice for coding interviews.
  ☆36Updated 5 years ago
• dlsys-course / assignment2-2017
  (Spring 2017) Assignment 2: GPU Executor
  ☆63Updated 8 years ago
• zhangruiskyline / DeepLearning
  Deep Learning introduction and its application in various fields
  ☆173Updated 4 years ago
• JoeriHermans / master-thesis
  My Master Thesis on Distributed Deep Learning (parallelizing gradient descent) and other concepts I did during my research.
  ☆26Updated 8 years ago
• hungtuchen / ml-playground
  Simple and easy-to-understand ml algorithm implementations
  ☆19Updated 8 years ago
• ethanhe42 / An-Analysis-of-Single-Layer-Networks-in-Unsupervised-Feature-Learning
  Implementation for: An Analysis of Single-Layer Networks in Unsupervised Feature Learning
  ☆18Updated 3 years ago
• PacktPublishing / Mastering-PyTorch-for-Deep-Learning
  Mastering PyTorch for Deep Learning, Published by Packt
  ☆15Updated 4 years ago
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 8 years ago
• phunterlau / kaggle_higgs
  My winning solution for Kaggle Higgs Machine Learning Challenge (single classifier, xgboost)
  ☆82Updated 11 years ago