Showing 81-100 of 154 projects
A deep learning library for head pose estimation using PyTorch, useful for computer vision applications.
Estimates dense, flicker-free, geometrically consistent depth from monocular video for computer vision applications.
A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain.
A PyTorch implementation of the Pyramid Stereo Matching Network (PSMNet) for depth estimation from stereo images.
A Keras-based implementation of a CNN network for age and gender estimation from images.
A Python library for differentiable robotics and pose estimation using deep learning and optimization.
A Python library for 3D multi-person mesh recovery from monocular images.
A header-only C++11 Kalman Filtering Library (EKF, UKF) based on Eigen3, useful for developers working with sensor data and estimation tasks.
A simple baseline for 3D human pose estimation using TensorFlow, presented at ICCV 2017.
An official implementation of HigherHRNet, a scale-aware human pose estimation model.
A TypeScript library for estimating the reading time of text, similar to the functionality of Medium's reading time estimate.
SimpleRecon is a 3D reconstruction library that uses a novel approach without 3D convolutions, optimized for computer vision tasks.
A Python library for exploring secrets of RLHF (Reward-Weighted Maximum Likelihood Estimation) in large language models
A custom Home Assistant component to calculate estimated power consumption of lights and appliances.
A simple facial recognition API for .NET that works on Windows, macOS, and Linux with support for various ML tasks.
Realtime Multi-Person Pose Estimation using PyTorch
A comprehensive collection of human pose estimation research papers and resources.
Pre-trained model for pitch estimation from audio, useful for music information retrieval tasks.
A unified deep learning model for correspondence, stereo, and depth estimation tasks.
Visual-inertial state estimation library for mobile phones, enabling accurate pose tracking.
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