riscv-newop VS recommenders

Compare riscv-newop vs recommenders and see what are their differences.


A RISC-V new instruction discovery tool [Work in Progress] (by riscv-newop)


TensorFlow Recommenders is a library for building recommender system models using TensorFlow. (by tensorflow)
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riscv-newop recommenders
4 1
15 1,766
- 1.3%
0.0 4.7
over 1 year ago 13 days ago
Python Python
BSD 2-clause "Simplified" License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.


Posts with mentions or reviews of riscv-newop. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-11.
  • Python Command not giving any output!
    2 projects | /r/learnpython | 11 Jul 2021
    You appear to have picked one part of a larger package and tried to use it as a plot program. If you look at Histogram.py you will see that it doesn't plot anything. It says:
    2 projects | /r/Python | 10 Jul 2021
    From what i see, the histogram.py file only declares the class but doesn't execute it. You want to use the __main__.py file which takes an argument as an input and executes the histogram class with it.


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

What are some alternatives?

When comparing riscv-newop and recommenders you can also consider the following projects:

platform-sifive - SiFive: development platform for PlatformIO

rexmex - A general purpose recommender metrics library for fair evaluation.

spotlight - Deep recommender models using PyTorch.

Surprise - A Python scikit for building and analyzing recommender systems

matrix-factorization - Library for matrix factorization for recommender systems using collaborative filtering

LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.

TensorRec - A TensorFlow recommendation algorithm and framework in Python.

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

RecBole - A unified, comprehensive and efficient recommendation library