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6d_rot

adversarial-pose-estimation

A PyTorch implementation of the paper 'Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation' (https://arxiv.org/pdf/1705.00389v2.pdf)

asymmetricgan

[ACCV 2018 Oral] Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

awesome-nerf

A curated list of awesome neural radiance fields papers

badja

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).

cocoapi

COCO API - Dataset @ http://cocodataset.org/

cyclegan-medical-image-segmentation

Implementation of CycleGAN for unsupervised image segmentaion, performed on brain tumor scans

deeplabcut

Markerless tracking of user-defined features with deep learning

deepmask

Torch implementation of DeepMask and SharpMask

deepposekit

a toolkit for pose estimation using deep learning

densenet

DenseNet implementation in Keras

densenet-base-mask-rcnn-for-human-pose-estimation

densenet-tensorflow

DenseNet Implementation in Tensorflow

dualgan

DualGAN-tensorflow: tensorflow implementation of DualGAN

eval_pose

Evaluation code for human pose estimation includes strict PCP, PDJ, and PCK.

gaelic98.github.io

hmr

Project page for End-to-end Recovery of Human Shape and Pose

hsic

A short notebook detailing code for calculating the Hilbert-Schmidt Independence Criterion

human-pose-estimation-101

Basics of 2D and 3D Human Pose Estimation.

image-multi-task-learning-

kaolin

PyTorch library aimed at accelerating 3D deep learning research

keypoints-of-humanpose-with-mask-r-cnn

Use the Mask RCNN for the human pose estimation

learnable-triangulation-pytorch

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!

machine-learning-proofs

This repository is a pet project of mine. Its purpose is to attempt to archive important proofs for concepts used in machine learning.

msc_project

Project for assessing feature selection and machine learning techniques on insurance pricing data

obj-parser

Converts 3D OBJ files to vector and texture coordinates to plot in OpenGL with glDrawArrays. Written in Python.

opendr

Modern OpenDR

opendr-1

opendr for Python3

papers

Summaries of machine learning papers

plotneuralnet

Latex code for making neural networks diagrams