This is your work, valued
I work on Neurosymbolic AI, Deep Learning, and AI for Science.
CS-F425_Deep-Learning. CS F425 Deep Learning course at BITS Pilani (Goa Campus)
114BITS-G513_MetaLearning. Labs for the course on Meta Learning at BITS-Goa
34BotGNN. BotGNN: Inclusion of Domain-Knowledge into GNNs using Mode-Directed Inverse Entailment
8IntroductionToDataScience. Materials (mostly Python-related) for my course "Introduction to Data Science"
7VEGNN. Vertex-Enriched Graph Neural Network (VEGNN)
7CS-F407_Artificial-Intelligence. CS F407 AI @ BITS Pilani, Goa Campus
5LMLFStar. Generating target-specific novel lead molecules using an LLM
4EM-Tutorial. A tutorial on Expectation Maximisation (EM) and its applications
3ILP2018_DRM. Large Scale Assessment of Deep Relational Machines (DRM) - Classification and Regression
3NeSy. A repository that highlights and collects several works on Neurosymbolic AI
3Winnow-Python. Python Implementation of Nick Littlestone's Winnow Algorithm
3t-SNE-GenEx-Tutorial. A simple tutorial on concepts, implementation and applications of t-SNE
2Scallop-Tutorial. I am learning Scallop, a new declarative language for symbolic reasoning
2TankModel-Tests. ML experiments on Tank model (some simple tests)
2High-School-ML-Tutorial. A simple ML tutorial for RNA-seq analysis (A high-school tutorial)
1UnitTests. Simple Python codes and functions for doing some routine tasks
1SSL-CRM. Pre-trained Compositional Relational Machine (Pre-trained CRM)
1CRM. Compositional Relational Machines (CRMs): Constructing deep neural networks that are logically explainable by design
1TAMs-CRC. An AI-assisted Investigation of Tumor Associated Macrophages and their Polarization in Colorectal Cancer
1tirtharajdash. Config files for my GitHub profile.
1BlockDiagonal-Matrix. Block Diagonal Matrix construction: From a Physics Paper
1CopyMe. How to create/modify/copy/move files or directory with name containing mathematical evaluations
1Kernelised-ANFIS. Kernelised Adaptive Neuro-Fuzzy Inference System (Kernelised-ANFIS)
1N-hop-Graph-Neighborhood. Compute the N-hop neighborhoods of every nodes in a given graph
1ICANN2019_DRM. Discrete Stochastic Search for Deep Relational Machines
1i-SVM. A simple solution to output interpretable rules from SVM
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