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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

⚕️ 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.

Companion code for the Manning book 'LLM Customization and Fine-Tuning.' Adapt open-weights LLMs end to end: prompting and RAG, LoRA/QLoRA, full SFT, distillation, and DPO/RLHF alignment.

Library for handling atomistic graph datasets focusing on transformer-based implementations, with utilities for training various models, experimenting with different pre-training tasks, and a suite of pre-trained models with huggingface integrations

Synthetic data augmentation technique via LLM for Automatic Speech Recognition fine tuning.

Omega-Forge: unofficial code to finetune or train VGGT-Omega (VGGT-Ω) on your own dataset, for use while official training code is not yet available. Additionally includes a standalone zero-GPU 3D reconstruction visualizer.

Fine-tuning Llama 3.2 3B Instruct model for text generation using Unsloth AI

[CCL 2023] Revisiting k-NN for Fine-tuning Pre-trained Language Models

Sudoku4LLM is a Sudoku dataset generator for training and evaluating reasoning in Large Language Models (LLMs). It offers customizable puzzles, difficulty levels, and 11 serialization formats to support structured data reasoning and Chain of Thought (CoT) experiments.

Dataset preparation tool for Mochi-1 video model fine-tuning — clip extraction, captioning & formatting pipeline

Containerized Transformer Fine-Tuning

This repo shows how to classify crack images and discuss the result with grad-cam

Let's build our own scalable chatbots for the Scalable Machine Learning and Deep Learning course at KTH!!

Fine-tuning Mask2Former on the FoodSeg103 dataset for food segmentation, with deployment and interactive inference via Gradio.