movie-recommender VS speech-emotion-recognition

Compare movie-recommender vs speech-emotion-recognition and see what are their differences.

movie-recommender

Movie recommender system based on Non-Negative Matrix Factorization and Singular Value Decomposition, with a Flask web interface (by lorenanda)

speech-emotion-recognition

A program that uses neural networks to detect emotions from pre-recorded and real-time speech (by lorenanda)
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movie-recommender speech-emotion-recognition
1 1
6 17
- -
6.1 1.8
over 3 years ago almost 2 years ago
Python Python
MIT License MIT License
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.

movie-recommender

Posts with mentions or reviews of movie-recommender. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-06.

speech-emotion-recognition

Posts with mentions or reviews of speech-emotion-recognition. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-06.
  • 4 tips for creating an impressive data science portfolio on GitHub
    4 projects | dev.to | 6 Jun 2021
    So instead of investing more time on these datasets, pick a new one of your own interest, apply different models and answer questions that you'd find insightful. I personally focused on projects that reflect my interest in Linguistics and NLP – you can explore data related to your experience or the industry you'd like to work in.

What are some alternatives?

When comparing movie-recommender and speech-emotion-recognition you can also consider the following projects:

Neural-Voice-Cloning-With-Few-Samples - This repository has implementation for "Neural Voice Cloning With Few Samples"

recommendation-algorithm - Collaborative filtering recommendation system. Recommendation algorithm using collaborative filtering. Topics: Ranking algorithm, euclidean distance algorithm, slope one algorithm, filtragem colaborativa.

implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets

deepface - A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

psych-verbs - Research experiment design and classification of Romanian emotion verbs

speech-music-detection - Python framework for Speech and Music Detection using Keras.

DeepPoseKit - a toolkit for pose estimation using deep learning

world-languages - Data analysis & visualization on the vulnerability status of the world's languages

mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

letterboxd_recommendations - Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username

LT-OCF - LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21