aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

PyTorch tutorials.

Image restoration with neural networks but without learning.

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

中文 Python 笔记

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

From the basics to slightly more interesting applications of Tensorflow

Efficient Image Captioning code in Torch, runs on GPU

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

[ICCV 2019] Monocular depth estimation from a single image

Python-based tools for document analysis and OCR

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

Feature selector is a tool for dimensionality reduction of machine learning datasets

Handout for the tutorial "Creating publication-quality figures with matplotlib"

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

High Quality Monocular Depth Estimation via Transfer Learning

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Automatic 2D-to-3D Video Conversion with CNNs

This repo has moved 🏠 Visit our website for the latest SDKs & Samples

This repository is intended to host tools and demos for ActivityNet

Code repository for Convolutional Pose Machines, CVPR'16

VPoser: Variational Human Pose Prior

Data preparation and loader for AMASS

An unofficial implementation of paper 3D Gaussian Splatting for Real-Time Radiance Field Rendering by taichi lang.

A series of machine learning tutorials for Torch7

Training and experimentation code used for "Stacked Hourglass Networks for Human Pose Estimation"

Machine Learning

Tensorflow implementation of "Learning Deep Features for Discriminative Localization"

TartanAir dataset tools and samples