The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

IPython Parallel: Interactive Parallel Computing in Python

An Interactive Introduction to Fourier Transforms

A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiase…

Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks

A framework for creating grounded instruction based datasets and training conversational domain expert Large Language Models (LLMs).

Spatial alignment of single cell transcriptomic data.

Few Shot Learning by Siamese Networks, using Keras.

Train Scene Graph Generation for Visual Genome and GQA in PyTorch >= 1.2 with improved zero and few-shot generalization.

Python implementation of paper "AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks"

Repository for the paper "Predicting Popularity of Images Over 30 Days", ICIP 2020 Image Popularity Prediction Challenge, 3rd Place

LSTM vs Transformer comparison in PyTorch

Visualizing the Spotify Soundscape through Spotify's top 50 songs of 2023

Repository for the paper "Efficient Detection of Lesions During Endoscopy", ICPR International Workshops and Challenges 2021