Dennis Chew (jovialio)

jovialio

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Location:Singapore

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Dennis Chew's repositories

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

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CelebV-Text

(CVPR 2023) CelebV-Text: A Large-Scale Facial Text-Video Dataset

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coco-viewer

Simple COCO Viewer in Tkinter

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CSWinTT

Transformer Tracking with Cyclic Shifting Window Attention (CSWinTT)

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dalai

The simplest way to run LLaMA on your local machine

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datumaro

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

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dlib

A toolkit for making real world machine learning and data analysis applications in C++

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GLIGEN

Open-Set Grounded Text-to-Image Generation

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hands-segmentation-pytorch

A repo for training and finetuning models for hands segmentation.

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mmdetection

OpenMMLab Detection Toolbox and Benchmark

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models

Models and examples built with TensorFlow

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monodepth

Unsupervised single image depth prediction with CNNs

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Multitarget-tracker

Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

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ov-seg

This is the official PyTorch implementation of the paper Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.

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PaddleOCR

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

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sahi

A lightweight vision library for performing large scale object detection/ instance segmentation.

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segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

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SOTS

Single object tracking and segmentation.

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Stark

[ICCV'21] Learning Spatio-Temporal Transformer for Visual Tracking

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Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

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TCTrack

TCTrack: Temporal Contexts for Aerial Tracking (CVPR2022)

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viper

Code for the paper "ViperGPT: Visual Inference via Python Execution for Reasoning"

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visualDet3D

Official Repo for Ground-aware Monocular 3D Object Detection for Autonomous Driving / YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection

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X-VLM

X-VLM: Multi-Grained Vision Language Pre-Training

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Yolo-to-COCO-format-converter

Yolo to COCO annotation format converter

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yolo_deepstream

yolo model qat and deploy with deepstream&tensorrt

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YOLOP

You Only Look Once for Panopitic Driving Perception.(https://arxiv.org/abs/2108.11250)

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yolov9

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

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