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🔄 mpv player 播放器折腾记录 windows conf ； 中文注释配置 快速帮助入门 ； mpv-lazy 懒人包 win10 x64 config
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
📚 《Go语言定制指南》(原名：Go语法树入门/开源免费图书/Go语言进阶/掌握抽象语法树/Go语言AST)
Shell library with powerful and modern UI, large feature set, and `.inputrc` support
DigitalPlat FreeDomain: Free Domain For Everyone
Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data
A course to build the SQL layer of a distributed database.
StepY1aoZz / openGemini
Forked from openGemini/openGeminiAn open source distributed time-series database with high concurrency, high performance, and high scalability
CNCF sandbox project, an open source distributed time-series database with high concurrency, high performance, and high scalability
Prometheus exporter for custom eBPF metrics
A Toolchain to make Build and Run eBPF programs easier
eBPF Developer Tutorial: Learning eBPF Step by Step with Examples
The Pytorch code of "Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification", CVPR 2022 (Oral).
Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020
source code for game off 2023 submission: Scaling Sqartan
Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”
Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。
A curated list of Game Boy Advance development resources
Code for the paper: "Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning"
Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Official implementation of "Open-set Label Noise Can Improve Robustness Against Inherent Label Noise" (NeurIPS 2021)
Malware Bypass Research using Reinforcement Learning