Earnings Call Search Tool
Search prototype based on weaviate
that enables semantic and literal search over earnings conference call sentences.
A list of small data science and coding projects, TILs (Today I Learned), and ongoing research projects, alongside links to supplementary resources (e.g., code, models, online appendices, etc.).
Search prototype based on weaviate
that enables semantic and literal search over earnings conference call sentences.
Collection of custom prodigy
recipes for various text labeling tasks. I used these recipes across different research projects to annotate training data or iteratively devise regex patterns.
Some selective evidence on AI transparency through analyses of the extent and depth of model card disclosures on the Hugging Face Hub, providing insights into the state of reporting practices in the field.
Gradio app to perform fuzzy name matching on entity names and merge financial datasets in the absence of unique keys. Allows for docker deployment.
DreamBooth is a fine-tuning technique for large, pretrained text-to-image models (e.g., DALL-E2, Imagen, Stable Diffusion). Based on a small reference set of training images of a given subject or object (henceforth concept), the DreamBooth technique learns a custom identifier for the given concept and implants the concept embedding into the model’s output domain. It enables the model to synthesize images of the underlying concept in different contexts and settings with very high-quality.