Awesome Jev Projects
Focus: discovery and github. Shares awesome list and open source with Awesome LLM. Rated 4.4 (Awesome LLM: 4.7).
Website
A curated list of large language model papers, frameworks and resources.
Rating
4.7 / 5
Pricing
Free
Difficulty
Beginner
Works on
Web
Built with love by Shushant Lakhyani. Building bestproductivityresources.com
Awesome-LLM is a curated list of large language model resources — papers, training frameworks, deployment tools, evaluation and applications, kept up to date with the field.
Third-party open-source projects. We are not affiliated with their authors; repositories are provided as-is by their maintainers. Review each project's license, code and security before installing. See our Disclaimer.
Anyone tracking LLM research and tooling.
People who want hands-on courses rather than reference lists.
Not sold on Awesome LLM? These do a similar job, and each card says what it has in common.
Focus: discovery and github. Shares awesome list and open source with Awesome LLM. Rated 4.4 (Awesome LLM: 4.7).
Focus: academic research, ai agents and claude code. Shares awesome list and papers with Awesome LLM. Rated 4.2 (Awesome LLM: 4.7).
Focus: typed decisions. Shares awesome list and ai with Awesome LLM. Rated 4.4 (Awesome LLM: 4.7).
Focus: ai governance, safety and compliance. Shares awesome list and open source with Awesome LLM. Rated 4.4 (Awesome LLM: 4.7).
Focus: deep learning, transformers and tutorials. Shares papers and open source with Awesome LLM. A course, not a website. Rated 4.8 (Awesome LLM: 4.7).
Focus: course, roadmap and colab. Shares llm and open source with Awesome LLM. A course, not a website. Rated 4.8 (Awesome LLM: 4.7).
Want to spend nothing? These free picks cover similar ground.
Focus: gpt, training and karpathy. Shares llm and open source with Awesome LLM. A framework, not a website. Adds macOS, Windows and Linux. Rated 4.8 (Awesome LLM: 4.7).
Focus: machine learning, frameworks and libraries. Shares awesome list and curated with Awesome LLM. Same 4.7 rating.
Focus: harness engineering, tutorial and agents. Shares ai and open source with Awesome LLM. A course, not a website. Same 4.7 rating.
Focus: training, machine learning and tutorial. Shares llm and open source with Awesome LLM. A course, not a website. Same 4.7 rating.
Focus: knowledge base, wiki and second brain. Shares awesome list and llm with Awesome LLM. Rated 4.2 (Awesome LLM: 4.7).
Focus: prompt engineering, context engineering and rag. Shares llm and papers with Awesome LLM. A course, not a website. Rated 4.8 (Awesome LLM: 4.7).
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