gradient-ascent
There are 31 repositories under gradient-ascent topic.
utkuozbulak/pytorch-cnn-adversarial-attacks
Pytorch implementation of convolutional neural network adversarial attack techniques
HySonLab/LatentDE
Latent-based Directed Evolution guided by Gradient Ascent for Protein Design
mftnakrsu/DeepDream
Generative deep learning: DeepDream
zer0int/CLIP-XAI-GUI
CLIP GUI - XAI app ~ explainable (and guessable) AI with ViT & ResNet models
zer0int/CLIP-text-image-interpretability
Get CLIP ViT text tokens about an image, visualize attention as a heatmap.
pranshu28/cnn-viz
Visualizing and interpreting features of CNN model
archana1998/Gradient-Ascent_FK-GRiD
Submission for the Flipkart GRiD 2.0 hackathon under the track "Fashion Intelligence Systems"
zer0int/CLIP-gradient-ascent-embeddings
Use CLIP to create matching texts + embeddings for given images; useful for XAI, adversarial training
atifali/hill-climbing
Numerical Optimization using "hill climbing" (aka Gradient Ascent)
saurabbhsp/machineLearning
Repository for machine learning problems implemented in python
zer0int/CLIPInversion
What do we learn from inverting CLIP models? And what does a CLIP 'see' in an image?
ChryssaNab/Machine_Learning-AUEB
This repository hosts the programming exercises for the course "Machine Learning" of AUEB Informatics.
csgwon/pytorch-simple-examples
Simple example notebooks using PyTorch
dboesono/Recommendation-Movie
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
sashakttripathi/MNIST-Softmax-Classification
Image classifier which classifies MNIST database of handwritten digits 0-9 using 28x28 pixel images
alinaduca/ML_SeminarSuplimentar
Repo for working on the additional Machine Learning seminar tasks, year 2023-2024.
AmanPriyanshu/The-Unlearning-Protocol
Choose which data to make your model forget (Unlearn!), but watch out - every deletion ripples!
krzyszsz/ApproximateOptimization
A simple heuristic optimizer.
MauroCE/LogisticRegression
Base R Implementation of Logistic Regression from Scratch with Regularization, Laplace Approximation and more
StatisKit/FFP17
Computational Studies of Adja Magatte Fall Internship
AmbarChatterjee/FDS_HW2
Interactive exploration of logistic regression, multinomial classification, and transfer learning using Python and Jupyter Notebooks in the context of data science education.
Filetto-Di-Salmone/Assignment2
2nd assignment of the Fundamentals of Data Science exam, taught by Prof. Fabio Galasso at Sapienza University of Rome in A.Y. 2022/23
santolg/UW-MSIM
Machine learning projects
vijitVM/Machine-Learning-
Machine Learning Problems
zer0int/CLIP-text-to-image
CLIP guiding self towards an image, from text prompt
zer0int/Golden-Gate-CLIP
Like Golden Gate Claude, but with a CLIP Vision Transformer ~ feature activation manipulation fun!
JayLohokare/gradient-ascent-stochastic-policy-learning
Open AI Cartpole environment gradient ascent
JayLohokare/reinforce-algorithm-policy-deepRL
OpenAI Gym's Cartpole environment REINFORCE algorithm implementation
jfdev001/gradient-ascent-and-simulated-annealing
Gradient ascent and simulated annealing optimization algorithms for multivariate Gaussian space from scratch.
msancor/FDS-HW2
Python project for the Fundamentals of of Data Science class for the MSc. in Data Science at the Sapienza University of Rome. The main purpose of the project is exploring Logistic Regression & Multinomial Regression concepts along with training classifiers using Gradient Descent/Ascent.