fine-tuning

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)

Advanced LLM fine-tuning techniques: SFT (LoRA, QLoRA, DoRA, P-/Prefix-Tuning), GRPO, DPO, ORPO, KTO & PPO; composable correctness/format rewards + LLM-as-a-Judge evals (DeepEval, Evidently AI) across math, multi-hop, medical & general QA on Llama 3, Mistral, Phi-4, Gemma & Qwen3. Built on TRL, PEFT & Unsloth.

An intelligent web crawling and content extraction tool that transforms web content into structured JSON data suitable for fine-tuning Large Language Models (LLMs).

A style-aware deep learning model for adaptive cell instance segmentation by contrastive fine-tuning.

BERT for extractive summarization using HuggingFace

A curated collection of open-source Large Language Model (LLM) projects that are production-ready and can be used for solving real-world problems. This repository focuses on high-performance, scalable LLM solutions across various industries and applications.

Deep learning models(CNN, LSTM, BERT) for image and text classification task with Tensorflow and Keras

Fine-tuning OpenAI API GPT-3.5 Turbo model Uploader

Different post-training techniques for LLMs, including: SFT, DPO and Online RL

End-to-end QLoRA-based fine-tuning of Llama-2 for a medical-diagnosis/doctor chat-bot on AWS

Recent papers and projects in multitask learning and their applications

ComfyUI nodes useful to Tweak SDXL, Illustrious, and NAI models by adjusting specific 'slices'. These nodes break the U-Net and CLIP into areas of application (like Style, Lighting, Word Logic...) and use sliders to boost or lower the intensity of any of those sections without training.

⚕️ Multi-agent SLM system for medical question answering — domain-aware, private-by-design, cloud-free

An end-to-end tennis video analysis system leveraging Ultralytics YOLOv8 for player and ball detection, multi-object tracking across frames, and a custom CNN for court keypoint extraction, providing data-driven insights into player movement, ball trajectories, and match dynamics using advanced computer vision and deep learning techniques.

Fine-tuning a Large Language Model (LLM) for code vulnerability detection using QLoRA, a method that quantizes the model to 4-bit floats and incorporates adapters for fine-tuning.