Aditya Saini's starred repositories
Deep-RL-Keras
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
stability-selection
scikit-learn compatible implementation of stability selection.
vae-experiments
Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction is work-in-progress.
carbon-lang
Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)
google-research
Google Research
awesome-spring
A curated list of awesome books, tutorials, courses, and resources for the Spring framework ecosystem.
Spring-Boot-Blog-REST-API
Restful CRUD Blog API using Spring Boot, Spring Security, JWT, Mysql, JPA
adv_explanation_ref
reference implementation for "explanations can be manipulated and geometry is to blame"
Neural-Network-Architecture-Diagrams
Diagrams for visualizing neural network architecture (Created with diagrams.net)
DataScienceTutorials.jl
A set of tutorials to show how to use Julia for data science (DataFrames, MLJ, ...)
imagenet-sample-images
1000 images, one per image-net class. For easy visualization/exploration of classes.
BeautifulAlgorithms.jl
Concise and beautiful algorithms written in Julia
adversarial-explainable-ai
đź’ˇ Adversarial attacks on explanations and how to defend them
xai-iml-sota
Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
Fooling-LIME-SHAP
Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
PlotNeuralNet
Latex code for making neural networks diagrams
glide-text2im
GLIDE: a diffusion-based text-conditional image synthesis model
pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.