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1. FAERS FAERS Public

   ADE4RD is a data engineering project focused on scalable ETL pipelines and graph-based modeling of adverse drug events (ADEs) for rare diseases. Using FAERS, GARD, and FDA orphan drug data, the pro…

   Jupyter Notebook

2. GRANT GRANT Public

   This project leverages LLMs fine-tuned via LoRA and SFT, along with BioMedBERT-based semantic similarity and confidence scoring, to identify rare diseases in unstructured NIH research text. Outputs…

   Jupyter Notebook 3

3. Social_Network Social_Network Public

   An AI-powered system that uses LLMs, agent-based RAG, and knowledge graphs to identify and recommend rare disease specialists based on publications, grants, and trials. Combines Neo4j, Langchain, a…

   Jupyter Notebook 4

4. Target_Deconvolution Target_Deconvolution Public

   Designed a cloud-native LLM pipeline for rare disease drug discovery, integrating fine-tuned generative models with phenotypic screening and semantic reasoning. Leveraged AWS EC2/S3 for scalable tr…

   Jupyter Notebook 2

5. AI-text-to-video-model-from-scratch AI-text-to-video-model-from-scratch Public

   Forked from FareedKhan-dev/AI-text-to-video-model-from-scratch

   In this blog, we will build a small scale text-to-video model from scratch. We will input a text prompt, and our trained model will generate a video based on that prompt.

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6. all-rag-techniques all-rag-techniques Public

   Forked from FareedKhan-dev/all-rag-techniques

   Implementation of all RAG techniques in a simpler way

   Jupyter Notebook