Dennis Chew (jovialio)

jovialio

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Location:Singapore

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Dennis Chew's repositories

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coco-analyze

A wrapper of the COCOeval class for extended keypoint error estimation analysis.

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nuscenes-devkit

The devkit of the nuScenes dataset.

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tfx

TFX is an end-to-end platform for deploying production ML pipelines

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CenterMask

CenterMask : Real-Time Anchor-Free Instance Segmentation, in CVPR 2020

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automl

Google Brain AutoML

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pytorch-semseg

Semantic Segmentation Architectures Implemented in PyTorch

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MultiObjectiveOptimization

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

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keras-retinanet

Keras implementation of RetinaNet object detection.

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tf-pose-estimation

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

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deep-text-recognition-benchmark

Text recognition (optical character recognition) with deep learning methods.

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two-stream-action-recognition-1

My re-implementation of two stream action recognition

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AlphaPose

Real-Time and Accurate Multi-Person Pose Estimation&Tracking System

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AB3DMOT

Official Python Implementation for "A Baseline for 3D Multi-Object Tracking", In Submission

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coco-annotator

:pencil2: Web-based image segmentation tool for object detection, localization and keypoints

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3DCNN-Vis

Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification

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TensorRT-CenterNet

tensorrt5 , centernet , centerface, deform conv, int8

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FCOS

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

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keras-fcos

FCOS (Fully Convolutional One-Stage Object Detection) implementation in Keras and Tensorflow

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annotation_tools

Visipedia Annotation Tools

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cudcnv2

A fully cuda implementation of DCNv2(deformable convolution) forward. Without dependent of cuTorch(THC).

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StyleNAS

Official pytorch implementation of the paper: "Ultrafast Photorealistic Style Transfer via Neural Architecture Search"

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PersonalizedMultitaskLearning

Code for performing 3 multitask machine learning methods: deep neural networks, Multitask Multi-kernel Learning (MTMKL), and a hierarchical Bayesian model (HBLR).

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openpose-plus

High-Performance and Flexible Pose Estimation Framework using TensorFlow, OpenPose and TensorRT

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labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

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Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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stdtensor

STL style Tensor Template Library

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3d-bounding-box-estimation-for-autonomous-driving

3d bounding box estimation from monocular image based on 2d bounding box

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tensorlayer

Deep Learning and Reinforcement Learning Library for Scientists

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