Abonia Sojasingarayar's repositories
CheatSheet-LLM
cheat sheet of LLM
YOLOv8-Fire-and-Smoke-Detection
This projevct aims to detect fire in forest and other areas
Context-Based-LLMChatbot
Use vector search or embedding technique to feed addtional knowledge base to LLM like GPT-3, BLOOMZ
LLM-finetuning
This repository provides code and resources for Parameter Efficient Fine-Tuning (PEFT), a technique for improving fine-tuning efficiency in natural language processing tasks.
deeplearningai-generativeAI-short-courses
Notebook samples - Generative AI short courses - deeplearning.ai
yolosegment2labelme
yolosegment2labelme - a Python package that allows you to convert YOLO segmentation prediction results to LabelMe and anylabeling JSON format. This tool facilitates the annotation easy.
Abusive-Language-Detection
Proposing a solution that uses deep learning to detect this offensive language (comments and texts from fb and instagram posts )
langchain-tutorials
Overview and tutorial of the LangChain Library
LLM-Finetuning-Notebooks
LLM Finetuning
Transformers-for-NLP-2nd-Edition
Under the hood working of transformers, fine-tuning GPT-3 models, DeBERTa, vision models, and the start of Metaverse, using a variety of NLP platforms: Hugging Face, OpenAI API, Trax, and AllenNLP
abonia1.github.io
https://abonia1.github.io/
awesome-mlops
A curated list of references for MLOps
Generative-AI-with-LLMs
In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.
github-buttons
:octocat: Unofficial github:buttons
jekyll-now
Build a Jekyll blog in minutes, without touching the command line.
langchain
⚡ Building applications with LLMs through composability ⚡
MLOps-Coursera
Exercise and resource materials - MLOps certification with coursera
Object-Detection-Tracking
Object-Detection-Tracking
sagemaker-jumpstart-generative-ai-examples
Unlocking Creativity: Generative AI with SageMaker Jumpstart
YOLOv8-DeepSORT-Object-Tracking
YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT