Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.

Auto_Jobs_Applier_AIHawk is a tool that automates the jobs application process. Utilizing artificial intelligence, it enables users to apply for multiple job offers in an automated and personalized…

Coding a Multimodal (Vision) Language Model from scratch in PyTorch with full explanation: https://www.youtube.com/watch?v=vAmKB7iPkWw

Word to Gaussian Mixture Model

In this project, we leverage Deep Learning algorithms to build robust forecasting system that monitors the change in the demand side and aligns the supply side to make up for the inaccuracy of the …

This is a code repository for the course Data Engineering with Data Build Tool (DBT).

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

DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature

Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting

The project is a Retrieval-Augmented Generation (RAG) application that leverages OpenAI’s Whisper to transcribe YouTube videos and answer queries about the content. The tech stack includes Langchai…

Turns Data and AI algorithms into production-ready web applications in no time.

Dataset of GPT-2 outputs for research in detection, biases, and more

Pytorch implementation of DetectGPT (https://arxiv.org/pdf/2301.11305v1.pdf)

a collection of classic tensorflow & pytorch cnn models' implementation

The state-of-the-art VSR

Video super resolution implemented in Pytorch

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

TensorFlow2 implementation of SRResNet and SRGAN

Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

Examples and guides for using the OpenAI API

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome

Graph Neural Networks for Recommender Systems

Machine Learning Cheatsheet 2024

A survey and reflection on the latest research breakthroughs in LLM-generated Text detection, including data, detectors, metrics, current issues and future directions.

Human ChatGPT Comparison Corpus (HC3), Detectors, and more! 🔥