YAML → end-to-end Hugging Face TRL fine-tuning. Configure model, dataset, trainer, W&B, and optional Modal GPUs, then run one command.
Qwen-Docs Finetuned (Hugging Face)
[hf.co/vanishingradient/qwen-docs-finetuned]Qwen-Docs Finetuned is a Qwen3-VL-8B vision-language model optimized for document understanding and structured markdown generation from images such as scanned pages, PDFs, screenshots, and technical documents. Fine-tuned using Unsloth and Hugging Face TRL, it preserves document layout, supports headings, lists, tables, and inline formatting, and is suitable for technical and academic content. The model enables low-VRAM inference (4-bit quantized) and is ideal for extracting structured information from complex documents.
Syndata - Synthetic Data Generation Platform
linkSyndata is a synthetic data generation platform for creating Q&A pairs from PDF documents. It is useful for evaluation tasks and data generation, enabling users to quickly generate high-quality question-answer datasets from their own documents.
PACLI - Personal Assistant CLI
[saqlain2204/pacli]Built a command-line LLM assistant to manage and modify calendar events via natural language. Integrated an Agentic RAG framework for reasoning over contextual information about scheduled events and automated the discovery and scheduling of upcoming Codeforces contests based on user intent.
ReTweetify - Turkish Hate Speech Classification
[saqlain2204/Turkish-Hate-Speech-Classification-Explanation]Fine-tuned multilingual BERT for Turkish hate speech classification using parameter-efficient LoRA adapters. Implemented token-level explainability using SHAP to visualize word contributions in predictions and built a rewriting pipeline to paraphrase hateful text while retaining tone and semantic meaning.
TopiQ - Topic Modelling Using Large Language Models
[saqlain2204/Topic-Modelling-Using-Large-Language-Models]Built a hybrid topic generation framework using KeyBERT, Llama2, UMAP, and HDBSCAN. Constructed topic similarity graphs and performed community detection and k-core analysis for deeper insights.
ML Research Papers Implementation
[saqlain2204/ML-Research-papers]A collection of machine learning research papers implemented from scratch, including reproducible code, experiment logs, and detailed explanations.