🐍 | Python library for Runpod API and serverless worker SDK.
-
Updated
Jul 24, 2026 - Python
🐍 | Python library for Runpod API and serverless worker SDK.
Run ComfyUI on Modal with auto-scaling, GPU snapshots, and easy model management.
An imperative command-line-interface for AI workload orchestration
One CLI to search, provision, and manage cloud GPUs across 10 providers
Vast.ai python sdk
Train a bidirectional or normal LSTM recurrent neural network to generate text on a free GPU using any dataset. Just upload your text file and click run!
LTX-Video deployment on Modal — serverless AI video generation with cloud GPU scaling
A skills repo for your AI agent to use cloud compute on your technical projects: runbooks, manifests, preflight checks, artifact proof, cost limits, and cleanup for RunPod, HF Jobs, AWS, Modal, Lambda, and more.
Runnable recipes for fine-tuning, training, and deploying models on VESSL Cloud.
Reproducible deep-learning image-classification pipeline for industrial soft sensing. Originally built for sludge-cake quality monitoring at DC Water Blue Plains AWWTP. Six architectures (FastViT, EfficientNet, MobileNet, EfficientFormerV2, DeepTEN-ResNet, sparse-AE CNN) compared with multi-seed statistics on Modal cloud GPUs.
Deep learning framework for Image and Video Quality Assessment. Unified IQA/VQA model with Swin-T/ResNet50, transformer temporal fusion, multi-dataset support.
Advanced digital twin generator using IPAdapter FaceID with batch image embedding averaging, ControlNet integration, and LoRA training for photorealistic avatar creation
Cloud GPU Price Comparison 2026 - Real cost testing of 5 GPU cloud providers (GPUhub, RunPod, Vast.ai, Lambda, SaladCloud) for machine learning, deep learning, and AI workloads. Python cost calculator included.
Live GPU rental prices from 8 cloud providers, refreshed daily, with an append-only price history. No affiliate links.
This is a template repository to finetune LLM with Lambda Cloud
Add a description, image, and links to the cloud-gpu topic page so that developers can more easily learn about it.
To associate your repository with the cloud-gpu topic, visit your repo's landing page and select "manage topics."