model

Bria RMBG 2.0 - image background removee

A collection of resources on using BERT (https://arxiv.org/abs/1810.04805 ) and related Language Models in production environments.

ComfyUI nodes for Step Audio EditX - State-of-the-art zero-shot voice cloning and audio editing with emotion, style, speed control, and more.

Production-ready platform for building, deploying, and operating AI and agentic applications

🏆Winning Project | ModelGate is a contract-aware AI control plane that ingests customer contracts, extracts SLA/privacy/routing constraints, and generates an OpenAI-compatible endpoint that automatically routes every request to the optimal model. Simple queries go to cheap models. Complex queries go to premium ones.

An easy-to-use reverse engineered text to image generation Python API wrapper for Lexica.art

Save, load, host, and share AI model checkpoints without slowing down training. Host on Lightning AI or your own cloud with enterprise-grade access controls.

Zoomaker - Friendly house keeping for your AI model zoo and related resources

A simple, interactive CLI for fine-tuning small language models on Apple Silicon. No YAML configs, no complex flags - just an interactive CLI that guides you through the process.

Download Huggingface repositories without the need to install dependencies

Chat with Anything 📃

Hugging Face Model downloader and GGUF Converter.

Bug detection and fixing using prompt engineering and fine-tuning with Llama 3 and a custom mutation-based dataset. Includes a user-friendly interface and performance evaluation metrics.

This is the unofficial re-implementation of "Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning Attack" (ICML2025)

HFDownloader - Hugging Face Model Downloader

GLM-5.2 QuantTrio (Unpruned ) on 4xDGX Spark (GB10): 327K-655K context or up to 5 concurrent agents, one receipe. TP4 + DCP + MTP

Engineered an advanced deep learning model to automate the classification of financial documents, including Balance Sheets, Cash Flow and Income Statements using Bidirectional LSTM and TensorFlow. The model achieved an impressive accuracy of 96.2%, enhancing efficiency and reducing errors in document management for the finance and banking sectors.

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.