Andrei Lapanik's repositories
fast-fight
Test of "motion blobs" approach to predict fighting actions in video stream
adversarial-attacks-pytorch
PyTorch implementations of Adversarial attacks and utils.
Adversarial_Patch_Attack
Pytorch implementation of Adversarial Patch on ImageNet (arXiv: https://arxiv.org/abs/1712.09665)
Bill-generator
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.
cortex
Deploy machine learning models to production
dense_flow
Dense optical flow calculation with CUDA
ens-adv-train-attack
Circumventing the defense in "Ensemble Adversarial Training: Attacks and Defenses"
foolbox
Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …
GAS
Generative Art Synthesizer - a python program that generates python programs that generates generative art
go-hcaptcha
A Go library for solving hCaptchas with YOLOv3 and options for other image recognition systems within twenty seconds.
image-super-resolution
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
InferSent
InferSent sentence embeddings
Keras-VGG16-places365
Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification
lama
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
langchain
🦜🔗 Build context-aware reasoning applications
machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
MoBRISK
Checking motion descriptor approach to classify video actions
musicnn
Pronounced as "musician", musicnn is a set of pre-trained deep convolutional neural networks for music audio tagging.
places365
The Places365-CNNs for Scene Classification
pymilvus
Python SDK for Milvus.
PyTorch-CAM
create Class Activation Maps (CAMs) for pretrained PyTorch models
pytorch-cnn-adversarial-attacks
Pytorch implementation of convolutional neural network adversarial attack techniques
stable-diffusion-webui
Stable Diffusion web UI
weakly_supervised_learning_code
The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney