Pytorch implementation of convolutional neural network adversarial attack techniques
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Updated
Dec 3, 2018 - Python
Pytorch implementation of convolutional neural network adversarial attack techniques
LatentDE: Latent-based Directed Evolution for Protein Sequence Design
Generative deep learning: DeepDream
CLIP GUI - XAI app ~ explainable (and guessable) AI with ViT & ResNet models
CLIP Interrogator, fully in HuggingFace Transformers 🤗, with LongCLIP & CLIP's own words and / or *your* own words!
Get CLIP ViT text tokens about an image, visualize attention as a heatmap.
Visualizing and interpreting features of CNN model
Submission for the Flipkart GRiD 2.0 hackathon under the track "Fashion Intelligence Systems"
Like a CLIP + VQGAN. Except without a VQGAN.
Use CLIP to create matching texts + embeddings for given images; useful for XAI, adversarial training
Here is the content of ML committe in season 2025
Repository for machine learning problems implemented in python
What do we learn from inverting CLIP models? And what does a CLIP 'see' in an image?
Numerical Optimization using "hill climbing" (aka Gradient Ascent)
A user-friendly web application built with Streamlit that offers personalized movie recommendations based on user ratings using a baseline predictive model and RBM neural network
Image classifier which classifies MNIST database of handwritten digits 0-9 using 28x28 pixel images
Base R Implementation of Logistic Regression from Scratch with Regularization, Laplace Approximation and more
Choose which data to make your model forget (Unlearn!), but watch out - every deletion ripples!
OpenVision: A Fully-Open, Cost-Effective Family of Advanced Vision Encoders for Multimodal Learning. + A closer look in PyTorch!
Simple example notebooks using PyTorch
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