Transport Mode detection - can detect the mode of transport with the help of features such as acceeration,jerk etc

Last update: Jan 16, 2022

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Overview

title	emoji	colorFrom	colorTo	sdk	app_file	pinned
Transport_Mode_Detector	🚀	purple	yellow	gradio	app.py	false

Configuration

title: string
Display title for the Space

emoji: string
Space emoji (emoji-only character allowed)

colorFrom: string
Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)

colorTo: string
Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)

sdk: string
Can be either gradio or streamlit

sdk_version : string
Only applicable for streamlit SDK.
See doc for more info on supported versions.

app_file: string
Path to your main application file (which contains either gradio or streamlit Python code).
Path is relative to the root of the repository.

pinned: boolean
Whether the Space stays on top of your list.

Owner

Nishant Rajadhyaksha

Computer engineer

GitHub Repository

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Transport Mode detection - can detect the mode of transport with the help of features such as acceeration,jerk etc

Related tags

Overview

Configuration

Owner

Nishant Rajadhyaksha

DiffQ performs differentiable quantization using pseudo quantization noise. It can automatically tune the number of bits used per weight or group of weights, in order to achieve a given trade-off between model size and accuracy.

Towards uncontrained hand-object reconstruction from RGB videos

Official PyTorch implementation of "BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation" (NeurIPS 2021)

Unsupervised Pre-training for Person Re-identification (LUPerson)

[ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

This is the official implementation of VaxNeRF (Voxel-Accelearated NeRF).

Like ThreeJS but for Python and based on wgpu

Accelerated deep learning R&D

Source code for our CVPR 2019 paper - PPGNet: Learning Point-Pair Graph for Line Segment Detection

"Learning and Analyzing Generation Order for Undirected Sequence Models" in Findings of EMNLP, 2021

Official PyTorch implementation of Data-free Knowledge Distillation for Object Detection, WACV 2021.

ZSL-KG is a general-purpose zero-shot learning framework with a novel transformer graph convolutional network (TrGCN) to learn class representation from common sense knowledge graphs.

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