PyTorch implementation of Learning to Downsample for Segmentation of Ultra-High Resolution Images [ICLR 2022]
-
Updated
Dec 24, 2022 - C
PyTorch implementation of Learning to Downsample for Segmentation of Ultra-High Resolution Images [ICLR 2022]
SDK for TEE AI Stick (includes model training script, inference library, examples)
Design a Low-cost-AI-Accelerator based on Google's Tensor Processing Unit Version 1.
This is a industry ready project which specifically used to make phone calls to any phone number in India to acknowledge users interest in particular services or not ! Then it stores the data in csv format with their responses. This is built on a very low-cost budget as compared to normal telephony provider charges for high volume Outbound calls.
Low-cost AMD/ROCm stationary-expert fabric for configurable trillion-parameter sparse MoE inference, with packed-INT4 HIP kernels, activation-only RoCE transport, hardware/BOM design, release gates, and reproducible roofline tooling.
High-performance, ultra-low-cost AI API gateway with native dual compatibility for OpenAI & Google Gemini Developer APIs. Features automated Google Search grounding (:search), multimodal vision, Imagen generation, and official feature support (including Google Maps tools) for Gemini, Gemma, DeepSeek, Claude, and GPT.
🦅 蓝鹰AI网关 - 全球顶尖大模型统一API网关 | 0.09x消耗倍率 | 1:1充值比例 | 原生官方号池
Author Implementation of "Zero-cost Transition to Multi-Document Processing in Summarization with Multi-Channel Attention"
Performance Exploitation in Low Computing Cost Model-Based EfficientDet for UAV Object Detection
70% OFF GPT-5.6, Claude 4.5 & 200+ AI Models | AIWTS Low-Cost AI API Gateway
BlueEagle AI Gateway - 0.09x pricing, 1:1 recharge. GPT/Claude/Gemini unified API. 100% native official pool.
Add a description, image, and links to the low-cost-ai topic page so that developers can more easily learn about it.
To associate your repository with the low-cost-ai topic, visit your repo's landing page and select "manage topics."