โก 1c7/chinese-independent-developer is making waves. Here's the full picture.
๐ https://github.com/1c7/chinese-independent-developer
๐ ๐ฉ๐ฟโ๐ป๐จ๐พโ๐ป๐ฉ๐ผโ๐ป๐จ๐ฝโ๐ป๐ฉ๐ปโ๐ปไธญๅฝ็ฌ็ซๅผๅ่ ้กน็ฎๅ่กจ -- ๅไบซๅคงๅฎถ้ฝๅจๅไปไน
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
ไธญๅฝ็ฌ็ซๅผๅ่ ้กน็ฎๅ่กจ ๆฏไธไธชๆฑ้ไธญๅฝ็ฌ็ซๅผๅ่ ้กน็ฎ็ๅผๆบไปๅบใ่ฟไธช้กน็ฎ็็ฎ็ๆฏ่ฎฉๅผๅ่ ไปฌ่ฝๅคๅไบซๅๅ็ฐๅฝผๆญค็ไฝๅ๏ผไฟ่ฟๆๆฏไบคๆตๅๅๆฐใ
่ฏฅไปๅบๅ ๅซไบๅคง้็้กน็ฎ๏ผๅ ๆฌ
ไฝฟ็จ่ฟไธชไปๅบ้ๅธธ็ฎๅ๏ผๅช้
ๆๆฏไธ๏ผ
่ฟไธชไปๅบ็็ฎๆ ๆฏๆไธบไธญๅฝ็ฌ็ซๅผๅ่ ็คพๅบ็ ไธญๅฟๆข็บฝ๏ผๆไปฅไธ่ฎบไฝ ๆฏ็ป้ชไธฐๅฏ็ๅผๅ่ ่ฟๆฏๅๅๅ ฅ้จ๏ผ้ฝๅฏไปฅๅจ่ฟ้ๆพๅฐๅฑไบ่ชๅทฑ็ไฝ็ฝฎใ
ๆป็ๆฅ่ฏด๏ผไธญๅฝ็ฌ็ซๅผๅ่ ้กน็ฎๅ่กจ ๆฏไธไธช้ๅธธๆ็จ็่ตๆบ๏ผ่ฝๅคๅธฎๅฉๅผๅ่ ไปฌๅฟซ้ๆพๅฐๅๅไบซๆ่ถฃ็้กน็ฎใๆไปฅ๏ผไธ่ฆ็น่ฑซ๏ผๅ ๅ ฅ่ฟไธช็คพๅบ๏ผๅไบซไฝ ็้กน็ฎ๏ผๅๅ ถไปๅผๅ่ ไธ่ตท ๅ้ ๆดๅค็ๅฏ่ฝ๏ผไปฃ็ ๅผๆบ๏ผๅๆฐๆบๆบไธๆญ๏ผ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง Channel: https://xn--r1a.website/GithubRe
๐ https://github.com/1c7/chinese-independent-developer
๐ ๐ฉ๐ฟโ๐ป๐จ๐พโ๐ป๐ฉ๐ผโ๐ป๐จ๐ฝโ๐ป๐ฉ๐ปโ๐ปไธญๅฝ็ฌ็ซๅผๅ่ ้กน็ฎๅ่กจ -- ๅไบซๅคงๅฎถ้ฝๅจๅไปไน
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
ไธญๅฝ็ฌ็ซๅผๅ่ ้กน็ฎๅ่กจ ๆฏไธไธชๆฑ้ไธญๅฝ็ฌ็ซๅผๅ่ ้กน็ฎ็ๅผๆบไปๅบใ่ฟไธช้กน็ฎ็็ฎ็ๆฏ่ฎฉๅผๅ่ ไปฌ่ฝๅคๅไบซๅๅ็ฐๅฝผๆญค็ไฝๅ๏ผไฟ่ฟๆๆฏไบคๆตๅๅๆฐใ
่ฏฅไปๅบๅ ๅซไบๅคง้็้กน็ฎ๏ผๅ ๆฌ
็จๅบๅๅทฅๅ
ทใๆธธๆใAI ๅบ็จ ็ญใๆฏไธช้กน็ฎ้ฝๆ่ฏฆ็ป็ไป็ปๅ้พๆฅ๏ผๆนไพฟๅผๅ่
ไปฌๅฟซ้ๆพๅฐๆๅ
ด่ถฃ็้กน็ฎใไฝฟ็จ่ฟไธชไปๅบ้ๅธธ็ฎๅ๏ผๅช้
fork ไปๅบ๏ผๆทปๅ ่ชๅทฑ็้กน็ฎ๏ผ็ถๅๆไบค pull request ๅณๅฏใ ๆๆฏไธ๏ผ
่ฟไธชไปๅบไฝฟ็จ GitHub Pages ่ฟ่ก้ๆ็ซ็น็ๆ๏ผๅนถไฝฟ็จ
Markdown ๆ ผๅผ็ผๅ้กน็ฎไป็ปใ่ฟไธชไปๅบ็็ฎๆ ๆฏๆไธบไธญๅฝ็ฌ็ซๅผๅ่ ็คพๅบ็ ไธญๅฟๆข็บฝ๏ผๆไปฅไธ่ฎบไฝ ๆฏ็ป้ชไธฐๅฏ็ๅผๅ่ ่ฟๆฏๅๅๅ ฅ้จ๏ผ้ฝๅฏไปฅๅจ่ฟ้ๆพๅฐๅฑไบ่ชๅทฑ็ไฝ็ฝฎใ
ๆป็ๆฅ่ฏด๏ผไธญๅฝ็ฌ็ซๅผๅ่ ้กน็ฎๅ่กจ ๆฏไธไธช้ๅธธๆ็จ็่ตๆบ๏ผ่ฝๅคๅธฎๅฉๅผๅ่ ไปฌๅฟซ้ๆพๅฐๅๅไบซๆ่ถฃ็้กน็ฎใๆไปฅ๏ผไธ่ฆ็น่ฑซ๏ผๅ ๅ ฅ่ฟไธช็คพๅบ๏ผๅไบซไฝ ็้กน็ฎ๏ผๅๅ ถไปๅผๅ่ ไธ่ตท ๅ้ ๆดๅค็ๅฏ่ฝ๏ผไปฃ็ ๅผๆบ๏ผๅๆฐๆบๆบไธๆญ๏ผ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง Channel: https://xn--r1a.website/GithubRe
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โก HKUDS/DeepTutor is making waves. Here's the full picture.
๐ https://github.com/HKUDS/DeepTutor
๐ DeepTutor: Lifelong Personalized Tutoring.https://deeptutor.info/.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
The DeepTutor project is a lifelong personalized tutoring system. Its key features include a knowledge graph, question bank, and chat interface for conversing with Partners - AI personas with their own skills and memory. To
The project has a strong focus on community, with a
Technical highlights of the project include its use of
The project is licensed under Apache 2.0 and has a
DeepTutor is suitable for educators, researchers, and developers interested in AI-powered education and tutoring systems.
One-liner takeaway: DeepTutor is revolutionizing education with its AI-powered personalized tutoring system, making learning more effective and engaging for all.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง Channel: https://xn--r1a.website/GithubRe
๐ https://github.com/HKUDS/DeepTutor
๐ DeepTutor: Lifelong Personalized Tutoring.https://deeptutor.info/.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
The DeepTutor project is a lifelong personalized tutoring system. Its key features include a knowledge graph, question bank, and chat interface for conversing with Partners - AI personas with their own skills and memory. To
get started, users can install DeepTutor and access its web interface for configuration and usage. The project has a strong focus on community, with a
Discord channel and Feishu group for discussion and collaboration. Technical highlights of the project include its use of
Python 3.11+, Next.js 16, and various AI and machine learning technologies. The project is licensed under Apache 2.0 and has a
GitHub release available. DeepTutor is suitable for educators, researchers, and developers interested in AI-powered education and tutoring systems.
One-liner takeaway: DeepTutor is revolutionizing education with its AI-powered personalized tutoring system, making learning more effective and engaging for all.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง Channel: https://xn--r1a.website/GithubRe
๐ Spotted on GitHub Trending: HenryNdubuaku/maths-cs-ai-compendium โ let's break it down.
๐ https://github.com/HenryNdubuaku/maths-cs-ai-compendium
๐ Become a cracked AI/ML Research Engineer
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
The Maths, CS & AI Compendium is an unconventional, open textbook covering maths, computing, and artificial intelligence from the ground up. It's designed for curious practitioners seeking a deep understanding of the subject matter, not just exam or interview survival.
Key features include intuition-first explanations, real-world context, and no hand-waving of complex concepts. The compendium also comes with an
The compendium is organized into 18 chapters, covering topics such as vectors, matrices, calculus, statistics, probability, machine learning, computational linguistics, computer vision, and more. It's written in a way that's easy to follow, with a focus on pattern recognition and quality knowledge consumption.
The target audience is anyone looking to gain a solid foundation in maths, CS, and AI, from students to working professionals. To get the most out of the compendium, readers can use the
Here's a sample
In short, the Maths, CS & AI Compendium is a valuable resource for anyone looking to deepen their understanding of these subjects. The one-liner takeaway: with persistence and the right resources, anyone can become a proficient maths, CS, and AI practitioner.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง Channel: https://xn--r1a.website/GithubRe
๐ https://github.com/HenryNdubuaku/maths-cs-ai-compendium
๐ Become a cracked AI/ML Research Engineer
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
The Maths, CS & AI Compendium is an unconventional, open textbook covering maths, computing, and artificial intelligence from the ground up. It's designed for curious practitioners seeking a deep understanding of the subject matter, not just exam or interview survival.
Key features include intuition-first explanations, real-world context, and no hand-waving of complex concepts. The compendium also comes with an
MCP server that lets AI assistants use it as a knowledge base, along with tools for educational purposes and example implementations.The compendium is organized into 18 chapters, covering topics such as vectors, matrices, calculus, statistics, probability, machine learning, computational linguistics, computer vision, and more. It's written in a way that's easy to follow, with a focus on pattern recognition and quality knowledge consumption.
The target audience is anyone looking to gain a solid foundation in maths, CS, and AI, from students to working professionals. To get the most out of the compendium, readers can use the
Phase 1 and Phase 2 study techniques outlined in the README.Here's a sample
Python codeto give you an idea of the type of content included.
In short, the Maths, CS & AI Compendium is a valuable resource for anyone looking to deepen their understanding of these subjects. The one-liner takeaway: with persistence and the right resources, anyone can become a proficient maths, CS, and AI practitioner.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง Channel: https://xn--r1a.website/GithubRe
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