JSHZT's repositories

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信息安全作业仓库

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PL0_compiler_CPLUSPLUS

编译原理课程设计,C++语言实现的PL0语言编译器

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myTalklip

进一步调整Talklip

admission

数据库课程设计-平行志愿模拟录取系统

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annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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bee

微信小程序-餐饮点餐外卖-开箱即用

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CV_exp

GDUT计算机视觉实验

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deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

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Deep3DFaceRecon_pytorch

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019). A PyTorch implementation.

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emoca

Official repository accompanying a CVPR 2022 paper EMOCA: Emotion Driven Monocular Face Capture And Animation. EMOCA takes a single image of a face as input and produces a 3D reconstruction. EMOCA sets the new standard on reconstructing highly emotional images in-the-wild

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GroupManager

The original permission plug-in for Spigot/Bukkit.

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GT-New-Horizons-Modpack

New Modpack with Gregtech and Thaumcraft

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JSHZT

Config files for my GitHub profile.

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llama

Inference code for LLaMA models

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make_object_detection_dataset

制作目标检测数据集

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meshtalk

Repository for MeshTalk supplemental material and code once the (already approved) 16 GHS captures our lab will make publicly available are released.

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Mimic

A novel apporach for personalized speech-driven 3D facial animation

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myspectre

Official Pytorch Implementation of SPECTRE: Visual Speech-Aware Perceptual 3D Facial Expression Reconstruction from Videos

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Numeral_Calculations

my Numeral_Calculations code(python)

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PyTorch_Tutorial

《Pytorch模型训练实用教程》中配套代码

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tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

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VideoPose3D

Efficient 3D human pose estimation in video using 2D keypoint trajectories

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wechat-app-order

点餐小程序,点单自动出单,点餐自动打印

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yolov5_pytorch

自己重写一遍,也便于后续项目封装

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YOLOv5GUI

用PyQt5封装YOLOV5(未进行TensorRT加速)

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