KIDA: Knowledge Inheritance in Data Aggregation

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Code for our method RePRI for Few-Shot Segmentation. Paper at http://arxiv.org/abs/2012.06166

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Hcaptcha-challenger - Gracefully face hCaptcha challenge with Yolov5(ONNX) embedded solution

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TumorInsight is a Brain Tumor Detection and Classification model built using RESNET50 architecture.

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Mscp jamf - Build compliance in jamf

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Official PyTorch implementation of MX-Font (Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts)

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MetaBalance: High-Performance Neural Networks for Class-Imbalanced Data

This repository is the official PyTorch implementation of Meta-Balance. Find the paper on arxiv MetaBalance: High-Performance Neural Networks for Clas

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DeepLearning Anomalies Detection with Bluetooth Sensor Data

Final Year Project. Constructing models to create offline anomalies detection using Travel Time Data collected from Bluetooth sensors along the route.

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PyTorch implementation DRO: Deep Recurrent Optimizer for Structure-from-Motion

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Code base of object detection

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[CVPR 21] Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2021.

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KIDA: Knowledge Inheritance in Data Aggregation

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Overview

KIDA: Knowledge Inheritance in Data Aggregation

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Owner

A PyTorch-Based Framework for Deep Learning in Computer Vision

PAIRED in PyTorch 🔥

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning using 🤗 transformers

Code for our method RePRI for Few-Shot Segmentation. Paper at http://arxiv.org/abs/2012.06166

Hcaptcha-challenger - Gracefully face hCaptcha challenge with Yolov5(ONNX) embedded solution

TumorInsight is a Brain Tumor Detection and Classification model built using RESNET50 architecture.

Mscp jamf - Build compliance in jamf

Flybirds - BDD-driven natural language automated testing framework, present by Trip Flight

Official PyTorch implementation of MX-Font (Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts)

MetaBalance: High-Performance Neural Networks for Class-Imbalanced Data

DeepLearning Anomalies Detection with Bluetooth Sensor Data

PyTorch implementation DRO: Deep Recurrent Optimizer for Structure-from-Motion

Code base of object detection

[CVPR 21] Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2021.

A state of the art of new lightweight YOLO model implemented by TensorFlow 2.

Adaptive Dropblock Enhanced GenerativeAdversarial Networks for Hyperspectral Image Classification

Revitalizing CNN Attention via Transformers in Self-Supervised Visual Representation Learning

Main Results on ImageNet with Pretrained Models

This repository contains codes of ICCV2021 paper: SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation