Popular GitHub Repositories for Titanet L

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

Evaluation code for various unsupervised automated metrics for Natural Language Generation.

A curated list of awesome awesomeness about artificial intelligence

[IEEE RA-L'25] NavRL: Learning Safe Flight in Dynamic Environments (NVIDIA Isaac/Python/ROS1/ROS2)

Một cuốn sách về Học Sâu đề cập đến nhiều framework phổ biến, được sử dụng trên 300 trường Đại học từ 55 đất nước bao gồm MIT, Stanford, Harvard, và Cambridge.

Prebuilt binary with Tensorflow Lite enabled. For RaspberryPi / Jetson Nano. Support for custom operations in MediaPipe. XNNPACK, XNNPACK Multi-Threads, FlexDelegate.

DeepFuze is a state-of-the-art deep learning tool that seamlessly integrates with ComfyUI to revolutionize facial transformations, lipsyncing, Face Swapping, Lipsync Translation, video generation, and voice cloning.

GenZ-ICP: SOTA robust LiDAR odometry (IEEE RA-L 2025)

The official implementation for "Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising".

L-CAS 3D Point Cloud Annotation Tool

Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation

[IEEE RA-L'25] Intent Prediction-Driven Model Predictive Control for UAV Planning and Navigation in Dynamic Environments (C++/ROS)

Tensorflow and PyTorch implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)

The Java implementation of Dive into Deep Learning (D2L.ai)

Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).

[RA-L 2022] FISS: A Trajectory Planning Framework using Fast Iterative Search and Sampling Strategy for Autonomous Driving

Open-source reinforcement learning environment for autonomous racing — featured as a conference paper at ICCV 2021 and as the official challenge tracks at both SL4AD@ICML2022 and AI4AD@IJCAI2022. These are the L2R core libraries.

使用OpenCV部署YOLOX，支持YOLOX-S、YOLOX-M、YOLOX-L、YOLOX-X、YOLOX-Darknet53五种结构，包含C++和Python两种版本的程序

SF Symbols for Texts: 2000+ built-in translations in 40 languages + semantic localization key macro for Swift devs