baituhuangyu's repositories

nano_track

NanoTrack based on opencv dnn and some npu(rk, tensorRT, novtek) beyond 330 FPS.

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carla

Open-source simulator for autonomous driving research.

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ChatGLM-6B

ChatGLM-6B:开源双语对话语言模型 | An Open Bilingual Dialogue Language Model

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ChatGLM3

ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型

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cython_bbox

standalone cython_bbox borrowed from faster-rcnn,fix version bugs

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Depth-Anything

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

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DirectMHP

Codes for my paper "DirectMHP: Direct 2D Multi-Person Head Pose Estimation with Full-range Angles"

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DSP-SLAM

[3DV 2021] DSP-SLAM: Object Oriented SLAM with Deep Shape Priors

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GLM-130B

GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)

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Learn-Carla

Learn how to use CARLA with basic APIs

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libfacedetection.train

The training program for libfacedetection for face detection and 5-landmark detection.

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lili-om

LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.

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llama

Inference code for LLaMA models

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llama.cpp

Port of Facebook's LLaMA model in C/C++

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Llama2-Chinese

Llama中文社区,最好的中文Llama大模型,完全开源可商用

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metaseq

Repo for external large-scale work

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MobileVLM

Strong and Open Vision Language Assistant for Mobile Devices

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open-gpu-kernel-modules

NVIDIA Linux open GPU kernel module source

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ORB_SLAM2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

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ORB_SLAM3_detailed_comments

Detailed comments for ORB-SLAM3

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r3live

A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package

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slam_in_autonomous_driving

《自动驾驶中的SLAM技术》对应开源代码

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tandem

[CoRL 21'] TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo

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TensorRT-LLM

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

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trackingTarget

c++测试fDsst和Opencv中跟踪算法API效果

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YOLOv8-deploy

:fire: Official YOLOv8模型训练和部署

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