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