🖥deepface - Python library for facial recognition and more
- pip install deepface
⏩ deepface is a lightweight Python library that allows you to find faces and analyze various attributes from photographs: age, gender, emotions. It incorporates the best of the VGG-Face, FaceNet, OpenFace, DeepFace, DeepID, ArcFace, Dlib, SFace and GhostFaceNet models.
⏩ This is how you can compare the similarity of 2 faces, the result is in the image:
from deepface import DeepFace result = DeepFace.verify(img1_path = "img1.jpg", img2_path = "img2.jpg")
Featuretools is a Python library for automated feature development, i.e. defining variables from the data set for training the ML model. Featuretools excels at converting temporal and relational datasets into feature matrices for machine learning.
🌟Step-by-step implementation of the Transformer architecture
This laptop describes in as much detail as possible each step of implementing a transformer from scratch, with the necessary theoretical minimum For complete enlightenment, you can combine it with video 3b1b
🖥Gensim - Python library for working with natural language
✅pip install gensim
Gensim can be used for document indexing and similarity searches in large texts. Gensim will be especially relevant for specialists in natural language processing (NLP) and information retrieval.
Keep a powerful cheat sheet on data structures in Python; Everything is explained here with examples, so it will be crystal clear Concepts such as mutability, immutability are described, things like list comprehensions and much more are described.
Here you will find the basic theory of Machine Learning and examples of the implementation of specific ML algorithms - in general, this is just the thing to brush up on your knowledge before the interview.