my-CS-Notebook VS RecSys_Course_AT_PoliMi

Compare my-CS-Notebook vs RecSys_Course_AT_PoliMi and see what are their differences.

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my-CS-Notebook RecSys_Course_AT_PoliMi
1 1
3 348
- -
5.5 6.5
4 months ago 3 months ago
Jupyter Notebook Jupyter Notebook
- GNU Affero General Public License v3.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

my-CS-Notebook

Posts with mentions or reviews of my-CS-Notebook. We have used some of these posts to build our list of alternatives and similar projects.

RecSys_Course_AT_PoliMi

Posts with mentions or reviews of RecSys_Course_AT_PoliMi. We have used some of these posts to build our list of alternatives and similar projects.
  • Noob question on simple recommender
    1 project | /r/recommendersystems | 5 Feb 2023
    At the recommender systems course I had in my university the instructor used the following repo: github.com/MaurizioFD/RecSys_Course_AT_PoliMi. For some things that would be too slow in python it uses a Cython implementation.

What are some alternatives?

When comparing my-CS-Notebook and RecSys_Course_AT_PoliMi you can also consider the following projects:

CSGO-Pro-Gear-Performance-and-EDA - Modeling Professional (CS:GO) Gamer's Accuracy Performance Based on Gear and Settings, and Exploratory Data Analysis.

CyRK - Runge-Kutta ODE Integrator Implemented in Cython and Numba

artificial-intelligence-and-machine-learning - A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm

Fast_Sentence_Embeddings - Compute Sentence Embeddings Fast!

FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

clip-retrieval - Easily compute clip embeddings and build a clip retrieval system with them

goodreads - code samples for the goodreads datasets