学習 · GitHub

:books: Guide to Galaxy, curated, worthy and up-to-date links/reading List, CheatSheets, MindMaps for ITCS-Coding/Algorithm/SoftwareArchitecture/AI. :dizzy: ITCS-编程/算法/软件架构/人工智能等领域的文章/书籍/资料/项目链接精选，岁月沉淀的美好

:books: Ultimate CheatSheets(Tutorials&MindMap), overview of syntax, features and practical tips, collection of useful code snippets, go from zero to hero at fly. :dizzy: 干货满满的全栈开发速学速查手册集锦

Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.

แหล่งรวม library ไทยๆ เกี่ยวกับ "ประเทศไทย" และ "ภาษาไทย" - Delightful Thai packages and resources

Learning Correspondence from the Cycle-consistency of Time (CVPR 2019)

《XQuant：人人都是量化交易员》量化交易入门与自学开源书：用 AI 和 Python 从零跑通策略回测、风险评估、交易执行和因子研究。

[TMLR 2026] Multimodal Large Language Models for Code Generation under Multimodal Scenarios

📚A curated list of Awesome Diffusion Inference Papers with Codes: Sampling, Cache, Quantization, Parallelism, etc.🎉

On most of my desktop and laptop systems I run a tiling window manager, either i3 (previously awesome) or ratpoison, and the a text status bar (i3bar or xmobar), filled with data by i3status. These files are needed to get the setup running.

Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)

Learning Apache spark,including code and data .Most part can run local.

Java/JDK 加解密教学示例：AES-GCM、RSA、ECDH、PBKDF2、HMAC 等。仅供学习，非生产库。MIT。

📑 A list of awesome learning-based multi-view stereo papers

YaneuraOu is the World's Strongest Shogi engine(AI player) , WCSC29 1st winner , educational and USI compliant engine.

Rust 学习之路 > Rust Programming Tutorial, include articles, interview, example, problems.

The most comprehensive XRL paper list: 277 papers (2016–2026) on interpretable and explainable RL. Surveys, saliency, counterfactuals, policy summarization and more.

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

Deep Reinforcement Learning For Sequence to Sequence Models

YazBel Python Belgeleri; En kapsamlı ve ayrıntılı Türkçe Python belgelendirmesi