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Name: Jake Deane
Type: User
Name: Jake Deane
Type: User
A PyTorch implementation of the paper 'Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation' (https://arxiv.org/pdf/1705.00389v2.pdf)
[ACCV 2018 Oral] Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
A curated list of awesome neural radiance fields papers
Benchmark Animal Dataset of Joint Annotations (BADJA) with example code, as introduced in "Creatures Great and SMAL: Recovering the shape and motion of animals from video" (ACCV 2018).
COCO API - Dataset @ http://cocodataset.org/
Implementation of CycleGAN for unsupervised image segmentaion, performed on brain tumor scans
Markerless tracking of user-defined features with deep learning
Torch implementation of DeepMask and SharpMask
a toolkit for pose estimation using deep learning
DenseNet implementation in Keras
DenseNet Implementation in Tensorflow
DualGAN-tensorflow: tensorflow implementation of DualGAN
Evaluation code for human pose estimation includes strict PCP, PDJ, and PCK.
Project page for End-to-end Recovery of Human Shape and Pose
A short notebook detailing code for calculating the Hilbert-Schmidt Independence Criterion
Basics of 2D and 3D Human Pose Estimation.
PyTorch library aimed at accelerating 3D deep learning research
Use the Mask RCNN for the human pose estimation
This repository is an official PyTorch implementation of the paper "Learnable Triangulation of Human Pose" (ICCV 2019, oral). Proposed method archives state-of-the-art results in multi-view 3D human pose estimation!
This repository is a pet project of mine. Its purpose is to attempt to archive important proofs for concepts used in machine learning.
Project for assessing feature selection and machine learning techniques on insurance pricing data
Converts 3D OBJ files to vector and texture coordinates to plot in OpenGL with glDrawArrays. Written in Python.
Modern OpenDR
opendr for Python3
Summaries of machine learning papers
Latex code for making neural networks diagrams
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.