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AMD-APU-Tuning-Utility is a system utility for Windows, hardware checks, cleanup, process control, or desktop customization.
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Archive Tune is a code project with source, releases, documentation, or setup notes.
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Awesome Tunneling is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Green Tunnel is a code project with source, releases, documentation, or setup notes.
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Tunarr is a video tool for encoding, conversion, repair, playback, editing, or processing workflows.
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Open-source implementation of Google Vizier for hyper parameters tuning.
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Instruct-tune LLaMA on consumer hardware.
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Tool designed to streamline the fine-tuning of various AI models, offering support for multiple configurations and architectures.
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7B Large Language Model fine-tune by 34B Chinese Character Corpus, based on LLaMA and Alpaca.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Scalable deep learning training platform with integrated hyperparameter tuning support; includes Hyperband, PBT, and other search methods.
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PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.
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Kubernetes-based system for hyperparameter tuning and neural architecture search.
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UI tool for fine-tuning and testing your own LoRA models base on LLaMA, GPT-J and more. One-click run on Google Colab. + A Gradio ChatGPT-like Chat UI to demonstrate your language models.
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Using Low-rank adaptation to quickly fine-tune diffusion models.
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Chinese LLM, Based on LLaMA and fine tune by Stanford Alpaca, Alpaca LoRA, Japanese-Alpaca-LoRA.
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Self-hosted downloader and player for YouTube, Bilibili, Twitch, MissAV, and yt-dlp sites. Features channel subscriptions, auto-downloads, and local storage for media. Organize your library into collections with a sleek UI. Includes built-in Cloudflare Tunnel support for secure remote access without port forwarding. Docker-ready deployment.
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Open platform for operating large language models (LLMs) in production. Fine-tune, serve, deploy, and monitor any LLMs with ease.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Windows optimization guide and tool collection for performance, cleanup, and system tuning.
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State-of-the-art Parameter-Efficient Fine-Tuning.
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An MLOps/LLMOps platform for model building, evaluation, and fine-tuning.
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Build and control your personal LLMs with fast and efficient fine-tuning.