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Search GPU , found 45 results

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Whisper Speech Recognition

Orchestra-Research/AI-Research-SKILLs

OpenAI’s Whisper provides robust multilingual speech-to-text transcriptions, translations to English, and language detection across 99 languages, suitable for podcasts, meetings, and noisy audio workflows with CPU/GPU acceleration and batch or streaming modes.

Modal Cloud GPU Platform

K-Dense-AI/claude-scientific-skills

Modal delivers cloud-native serverless Python with on-demand GPUs, persistent storage, and web endpoints to deploy ML workloads, batch jobs, and APIs without writing Dockerfiles.

Hugging Face TRL Training

hugging-face-model-trainer

sickn33/antigravity-awesome-skills

Train or fine-tune TRL-powered language models via Hugging Face Jobs, running SFT/DPO/GRPO workflows on managed cloud GPUs, auto-saving to the Hub and exporting GGUF builds without local setup.

Run Experiment Deployment

wanshuiyin/Auto-claude-code-research-in-sleep

Deploys and runs ML experiments on local, remote, Vast.ai, or Modal GPUs by detecting the target environment, syncing code, ensuring W&B logging when needed, and launching training jobs safely.

Solana AI Agent Marketplace Tool

sickn33/antigravity-awesome-skills

Connects to the MAXIA AI-to-AI marketplace on the Solana blockchain. This tool allows users to discover, buy, and sell AI services directly between decentralized agents. Features include comprehensive crypto intelligence, such as sentiment analysis and trending data; DeFi yield tracking; Web3 wallet security analysis (e.g., rug detection); and real-time GPU pricing, making it a comprehensive hub for Web3 AI interactions.

Experiment Plan Deployment and Execution

experiment-bridge

wanshuiyin/Auto-claude-code-research-in-sleep

This skill acts as a crucial bridge, automating the transition from a conceptual experiment plan to fully deployed and executable code. It parses structured experiment roadmaps, implements necessary training/evaluation scripts, manages dependencies, and deploys the experiment setup to GPU environments. It ensures reproducibility through mandatory code review and structured result collection.

Hugging Face Vision Trainer

hugging-face-vision-trainer

sickn33/antigravity-awesome-skills

Fine-tune or train object detection, classification, and SAM/SAM2 segmentation models on Hugging Face Jobs, leveraging managed GPUs, automatic dataset checks, and Hub persistence without local GPU setup.

Transformers.js ML Toolkit

transformers-js

sickn33/antigravity-awesome-skills

Run Hugging Face models directly in JavaScript/TypeScript for text, vision, and speech tasks without backend servers, using Transformers.js in Node.js or modern browsers with WebGPU, quantization, and pipeline abstractions for efficient inference.

Vast AI GPU Resource Management

wanshuiyin/Auto-claude-code-research-in-sleep

This skill automates the process of renting, configuring, and managing GPU instances on vast.ai for deep learning and AI tasks. It analyzes the task requirements (VRAM, GPU count, estimated time) from the experiment plan or user input, searches for the most cost-effective and reliable GPU offers, and manages the entire resource lifecycle, ensuring efficient and economic AI training.

Modal Cloud GPU Runner

serverless-modal

wanshuiyin/Auto-claude-code-research-in-sleep

Executes training, fine-tuning, inference, and batch jobs on Modal’s zero-config GPU cloud so you just write Python, run `modal run`, and let Modal auto scale, manage secrets, and halt billing when finishes.

Modal Cloud GPU Platform

K-Dense-AI/scientific-agent-skills

Modal delivers cloud-native serverless Python with on-demand GPUs, persistent storage, and web endpoints to deploy ML workloads, batch jobs, and APIs without writing Dockerfiles.

Advanced ML Experiment Grid Orchestration

experiment-queue

wanshuiyin/Auto-claude-code-research-in-sleep

A powerful tool for orchestrating large-scale Machine Learning experiments across remote GPU servers. It handles complex job manifests, multi-seed sweeps, sequential wave transitions, and advanced failure recovery (OOM-aware retry, stale screen cleanup). Ideal for complex grid search and pipeline chaining where simple batch running fails.

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