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)
This is my senior project, we aim to design a Low-cost-AI-Accelerator based on Google's Tensor Processing Unit.
A Claude-like browser agent extension for Chrome — a more cost-efficient alternative that reads pages, interacts with UI elements, and completes multi-step tasks from natural-language goals.
Performance Exploitation in Low Computing Cost Model-Based EfficientDet for UAV Object Detection
Author Implementation of "Zero-cost Transition to Multi-Document Processing in Summarization with Multi-Channel Attention"
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.
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