Popular GitHub Repositories for Inverse Tone Mapping

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

POT : Python Optimal Transport

Collection of popular and reproducible image denoising works.

A comprehensive mapping database of English to Chinese technical vocabulary in the artificial intelligence domain

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Fractal Graph-of-Thought. Rhizomatic Mind-Mapping for Ai-Agents, Web-Links, Notes, and Code.

视觉(语义) SLAM 相关研究跟踪

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Clean PyTorch implementations of imitation and reward learning algorithms

Robot-centric elevation mapping for rough terrain navigation

For deep RL and the future of AI.

Official code of "HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation", CVPR 2021

Implementations of selected inverse reinforcement learning algorithms.

We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the

A high-fidelity 3D face reconstruction library from monocular RGB image(s)

Python sample codes and documents about Autonomous vehicle control algorithm. This project can be used as a technical guide book to study the algorithms and the software architectures for beginners.

This sample has the full End2End process of creating RAG application with Prompty and Azure AI Foundry. It includes GPT 3.5 Turbo LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.

[ICLR 2025] Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration

[ECCV 2024] InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR

? The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation