calibrec Goto Github PK

autostarrail

星穹铁道清理体力 | 星穹铁道锄大地 | 星穹铁道模拟宇宙 | 星穹铁道脚本整合包 | HonkaiStarRail

awesome

😎 Awesome lists about all kinds of interesting topics

calibre

The official source code repository for the calibre ebook manager

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearningsystem

Deep Learning System core principles introduction.

diffusion-models-papers-survey-taxonomy

Diffusion model papers, survey, and taxonomy

djangoblog

🍺基于Django的博客系统

example-python

An example repo to demonstrate Python support in Pants

express-beamer

A modern LaTeX Beamer theme

fish

genshin_auto_fish

基于深度强化学习的原神自动钓鱼AI

hands-on-rl

https://hrl.boyuai.com/

lkmpg

log.c

A simple logging library implemented in C99

maaassistantarknights

《明日方舟》小助手，全日常一键长草！| A one-click tool for the daily tasks of Arknights, supporting all clients.

redis-3.0-annotated

带有详细注释的 Redis 3.0 代码（annotated Redis 3.0 source code）。

redis7.0-chinese-annotated

Redis 7.0.5 版本——中文注释，持续更新！欢迎参与本项目！🍭🍭🍭

runninglinuxkernel_5.0

奔跑吧linux内核第二版（卷1，卷2，入门篇） 实验平台

sam-pt

SAM-PT: Extending SAM to zero-shot video segmentation with point-based tracking.

sam-ta

siamfc-pytorch

A clean PyTorch implementation of SiamFC tracking/training, evaluated on 7 datasets.

siammask

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

starrailassistant

崩坏：星穹铁道自动化 | 崩坏：星穹铁道自动锄大地 | 崩坏：星穹铁道锄大地 | 自动锄大地 | 基于模拟按键

stcn

[NeurIPS 2021] Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation

tinyml_and_efficient_dlc

TinyML and Efficient Deep Learning Computing | MIT 6.S965 Fall 2022

tracking-anything-with-deva

[ICCV 2023] Tracking Anything with Decoupled Video Segmentation

trackingwithlesstraining

training-code-of-stm

Training code of Spatial Time Memory Network. Semi-supervised video object segmentation.

translation-introduction-to-hpc

为 Eijhout 教授的Introduction to HPC提供中文翻译、 PPT和Lab。

videomamba

[ECCV2024] VideoMamba: State Space Model for Efficient Video Understanding