Pinned Repositories
Advanced-QA-and-RAG-Series
This repository contains advanced LLM-based chatbots for Q&A using LLM agents, and Retrieval Augmented Generation (RAG) and with different databases. (VectorDB, GraphDB, SQLite, CSV, XLSX, etc.)
CAIS
Carleton AI Society Workshops
detr
End-to-End Object Detection with Transformers
Diffusion-Model-Tutorial
How diffusion models work
Farzad-R
farzad-r.github.io
LLM-Zero-to-Hundred
This repository contains different LLM chatbot projects (RAG, LLM agents, etc.) and well-known techniques for training and fine tuning LLMs.
LTSF-Linear
This is the official implementation for AAAI-23 Oral paper "Are Transformers Effective for Time Series Forecasting?"
mm-cot
Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)
NextX
Forecasting Wind Speed for the Next X Hours
Farzad-R's Repositories
Farzad-R/LLM-Zero-to-Hundred
This repository contains different LLM chatbot projects (RAG, LLM agents, etc.) and well-known techniques for training and fine tuning LLMs.
Farzad-R/Advanced-QA-and-RAG-Series
This repository contains advanced LLM-based chatbots for Q&A using LLM agents, and Retrieval Augmented Generation (RAG) and with different databases. (VectorDB, GraphDB, SQLite, CSV, XLSX, etc.)
Farzad-R/CAIS
Carleton AI Society Workshops
Farzad-R/Diffusion-Model-Tutorial
How diffusion models work
Farzad-R/detr
End-to-End Object Detection with Transformers
Farzad-R/Farzad-R
Farzad-R/farzad-r.github.io
Farzad-R/LTSF-Linear
This is the official implementation for AAAI-23 Oral paper "Are Transformers Effective for Time Series Forecasting?"
Farzad-R/mm-cot
Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)
Farzad-R/NextX
Forecasting Wind Speed for the Next X Hours
Farzad-R/OptimizationAlgorithms
Single and Multi-Objective Algrotihms
Farzad-R/sample_luigi_pipeline
A pipeline with Luigi, pip, and os
Farzad-R/segment-anything
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.