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IIITD
- New Delhi
- www.linkedin.com/in/adityasaini-iiitd
- @adi_saini
Stars
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Official Implementation of "Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music" (ISMIR 2021)
A python package for sampling from determinantal point processes
scikit-learn compatible implementation of stability selection.
This repo contains code for the paper: "B-SMALL: A Bayesian Neural Network approach to Sparse Model-Agnostic Meta-Learning".
Python toolbox for sampling Determinantal Point Processes
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 Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)
Google Research
A curated list of awesome books, tutorials, courses, and resources for the Spring framework ecosystem.
Restful CRUD Blog API using Spring Boot, Spring Security, JWT, Mysql, JPA
reference implementation for "explanations can be manipulated and geometry is to blame"
A toy programming language written in Typescript
Diagrams for visualizing neural network architecture
DAGs with NO TEARS: Continuous Optimization for Structure Learning
A set of tutorials to show how to use Julia for data science (DataFrames, MLJ, ...)
1000 images, one per image-net class. For easy visualization/exploration of classes.
Concise and beautiful algorithms written in Julia
💡 Adversarial attacks on explanations and how to defend them
Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
Latex code for making neural networks diagrams
GLIDE: a diffusion-based text-conditional image synthesis model
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.