Andrei Lapanik's Projects
PyTorch implementations of Adversarial attacks and utils.
Pytorch implementation of Adversarial Patch on ImageNet (arXiv: https://arxiv.org/abs/1712.09665)
A category that adds an instragram-like hashtag choosing/listing capability to the UITextView
The developed application allows generating an imitation of a store check with list of products. The input data is a set of parameters as product id and its quantity, plus discount card number. Result of working application is printed bill to console or to a file.
Deploy machine learning models to production
Unofficial Courcera and Udacity app
Deep learning driven jazz generation using Keras & Theano!
Dense optical flow calculation with CUDA
Circumventing the defense in "Ensemble Adversarial Training: Attacks and Defenses"
Plotting Assignment 1 for Exploratory Data Analysis
Test of "motion blobs" approach to predict fighting actions in video stream
Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, ā¦
Generative Art Synthesizer - a python program that generates python programs that generates generative art
Sentiment prediction based on synthetic customer tickets
A Go library for solving hCaptchas with YOLOv3 and options for other image recognition systems within twenty seconds.
IG Market REST and Lightstream python library
š Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
InferSent sentence embeddings
Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification
š¦ LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
š¦š Build context-aware reasoning applications
A complete daily plan for studying to become a machine learning engineer.
Checking motion descriptor approach to classify video actions
Pronounced as "musician", musicnn is a set of pre-trained deep convolutional neural networks for music audio tagging.
The Places365-CNNs for Scene Classification
Python SDK for Milvus.