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This repository contains a system for generating question-answer pairs for FINE-TUNING LLMs from the data you have.

Official implementation of the paper "Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language Models"

Build and fine-tune your Image Classifier using a Vision Transformer Model from TensorFlow Hub

An experiment with movie scenes and contrastive learning

Code associated with the blog post titled, "Fine-Tuning BGE Embeddings Using Synthetic Data from Amazon Bedrock"

Llama 3.2 fine-tuned on a medical dataset for improved healthcare-specific understanding and tasks.

Voice cloning using coqui-TTS

A deep learning project for detecting and classifying teeth as normal or cavity using YOLOv12m. The model is integrated into a web application for real-time dental screening. Designed to enhance early diagnosis accessibility, with future improvements planned for dataset expansion, annotation quality, and robustness to real-world conditions.

Low Tensor Rank adaptation of large language models

A repo for NLP model Bert.

The official fork of THoR Chain-of-Thought framework, enhanced and adapted for Emotion Cause Analysis (ECAC-2024)

Detecting fake news articles by analyzing patterns in writing.

Manage HuggingFace models with Python desktop app

DistilBERT model with Sequence Classification on 9 newsgroup datasets for the Nepali language with 95.475% accuracy.

An interactive CLI tool that leverages Ollama, ChatGPT, Gemini, Claude, Mistral and other AI.

About Advanced AI-Generated Image Detection System using EfficientNetB7 with Custom Attention Mechanism. Developed for AICS 2025 (33rd Irish Conference on Artificial Intelligence and Cognitive Science). Detects deepfakes from GANs, Diffusion Models, and other generative AI.

The most capable Calibre MCP server — full read/write tools plus multilingual semantic search over your whole ebook library or a single book. For Claude & any MCP client.

Experimental tl;dr summaries for datasets on the Hugging Face Hub!

Local-first AI assistant — 9 specialized agents (code, web, debug, security…), 10M-token vector memory, multimodal (vision + local image generation), two-way voice (dictation + read-aloud), slash commands & codebase RAG, agentic VS Code extension, mobile relay via secure tunnel. 100% local with Ollama. Your data, your control.

Intelligent Image Gallery with Uploads, Deduplication, and Text-Based Search Using Vector DB Qdrant