speech-emotion-recognition
movie-recommender
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speech-emotion-recognition | movie-recommender | |
---|---|---|
1 | 1 | |
17 | 6 | |
- | - | |
1.8 | 6.1 | |
almost 2 years ago | over 3 years ago | |
Python | Python | |
MIT License | MIT License |
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speech-emotion-recognition
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4 tips for creating an impressive data science portfolio on GitHub
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.
movie-recommender
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4 tips for creating an impressive data science portfolio on GitHub
For example, for my research project on psych-verbs I wrote a paper-like README targeted at academics/fellow linguists, whereas for my movie recommender system I wrote an informal short description and included a screencast, aimed at a general audience.
What are some alternatives?
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.
speech-music-detection - Python framework for Speech and Music Detection using Keras.
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
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
DeepPoseKit - a toolkit for pose estimation using deep learning
LT-OCF - LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21
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.