Alexey Prikhodko's Projects
A practical implementation of sign language estimation using an LSTM NN built on TF Keras.
Книга: Паттерны разработки на Python
Clean Code in Python, published by Packt
command line interface
Learning Convolutional Neural Networks with Interactive Visualization.
Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai
Try out deep learning models online on Google Colab
Skeleton for DVC pipeline to evaluate multiple models together
MediaPipe(Python版)を用いて手の姿勢推定を行い、検出したキーポイントを用いて、簡易なMLPでハンドサインとフィンガージェスチャーを認識するサンプルプログラムです。(Estimate hand pose using MediaPipe(Python version). This is a sample program that recognizes hand signs and finger gestures with a simple MLP using the detected key points.)
Hierarchical Loss function from paper YOLO9000
Программа распознавания места исполнения жеста на базе фонетической транскрипции HamNoSys
Estimates sign holds for sign videos and outputs overlay stills of the sign
A set of demo of deploying a Machine Learning Model in production using various methods
Multitask learning with independent models using MLflow
Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
Play with neural networks!
A CLI tool to embed interactive PUML diagrams to your github markdown files.
Source of the book "Clean Architectures in Python"
PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book