Hyo (HyoKong)

HyoKong

Geek Repo

Company:National University of Singapore

Location:Singapore

Home Page:HyoKong.github.io

Github PK Tool:Github PK Tool

Hyo's repositories

DreamDrone

Navigate dreamscapes with a click – your chosen point guides the drone’s flight in a thrilling visual journey.

Anatomy3D

Anatomy-aware 3D Human Pose Estimation in Videos

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apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

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coursera-deep-learning

Solutions to all quiz and all the programming assignments!!!

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examples

A repository to host extended examples and tutorials

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flameprof

Flamegraph generator for cProfile stats

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hand_object_detector

Project and dataset webpage:

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horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

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HRNet-Human-Pose-Estimation

This repo is copied from https://github.com/leoxiaobin/deep-high-resolution-net.pytorch

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HRNet-Semantic-Segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

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human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

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MHFormer

[CVPR 2022] MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation

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mmpose

OpenMMLab Pose Estimation Toolbox and Benchmark.

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OpenAI-CLIP-Feature

An easy to use, user-friendly and efficient code for extracting OpenAI CLIP (Global/Grid) features from image and text respectively.

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pytorch-cifar

95.47% on CIFAR10 with PyTorch

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pytorch-gradual-warmup-lr

Gradually-Warmup Learning Rate Scheduler for PyTorch

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Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

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PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

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SemGCN

The Pytorch implementation for "Semantic Graph Convolutional Networks for 3D Human Pose Regression" (CVPR 2019).

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Swin-Transformer

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

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T2M-GPT

(CVPR 2023) Pytorch implementation of “T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations”

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transformer-in-transformer

Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch

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vector-quantize-pytorch

Vector Quantization, in Pytorch

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VideoPose3D

Efficient 3D human pose estimation in video using 2D keypoint trajectories

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vision

Datasets, Transforms and Models specific to Computer Vision

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vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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