🔊 PiperGen: Pretrain Piper TTS with OpenAI voices! Capture, convert, and fine-tune models for rich, natural speech synthesis. 🗣✨
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Updated
Oct 28, 2024 - Jupyter Notebook
🔊 PiperGen: Pretrain Piper TTS with OpenAI voices! Capture, convert, and fine-tune models for rich, natural speech synthesis. 🗣✨
Sentique is a full‑stack feedback analytics platform that ingests user reviews from App Store, Google Play, Trustpilot, Reddit and Twitter/X, processes them with a fine‑tuned BERT model into 16 categories and sentiment labels, and provides comprehensive analytics and insights.
Small model for language modeling based on distilgpt2 and on microbiology-related text data
LawAi fine tuned with Llama-3.1 8b + Unsloth
Specialised AI-powered Query Assistant for Agriculture and Horticulture using Retrieval-Augmented Generation (RAG) architecture, which combines the strengths of a fine-tuned model with external, verifiable data.
Test the potential of Apertus at RAG
FineTuna is a web-based LLM fine-tuning platform that simplifies training Hugging Face foundation models using custom datasets. It provides beginner-friendly templates and GPU-free workflows, making AI model customization more accessible for developers and learners.
⚙️ Fine-Tune 🦙 Llama 3.1, Phi-3.. Models on custom DataSet using 🕴️ unsloth & Saving to HuggingFace Hub
A learning project for fine-tuning the Qwen3-0.6B AI model on AMD Radeon RX 7800 XT.
AI Therapist tailored for genZ
A FastAPI service for real-time fraud prediction in financial transactions, focusing on Nigerian fintech. It provides REST endpoints for scoring and utilizes Dramatiq/Redis for background LoRA fine-tuning jobs.
Predic is a powerful AI coding assistant that runs 100% locally on your machine. It provides chat assistance, code explanation, and intelligent inline completions ("ghost text") without sending a single line of your code to the cloud.
Submitted as part of my Machine Learning exam.
The Bad Improved Prompt Model is designed to enhance user inputs for image generation models. By refining vague or unclear prompts, it helps produce more accurate and visually appealing images.
🚀 Model API with Flask, BART Base & mBART
Dataset generation pipeline for ShikshaEdge — 2,170 NCERT curriculum Q&A pairs in Hindi, Marathi, and English for fine-tuning Gemma 3.
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