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* [git](https://git-scm.com/), [SCM](https://sapling-scm.com/) or [darcs](https://darcs.net/) - Version Control Systems
* [multi-gitter](https://github.com/lindell/multi-gitter) - Bulk Repository Updater
* [Meld](https://meldmerge.org/) - Git Visual Diff / Merge Tool
* [Merge Timer](https://mergetimer.app/) - Merge Timer Tool
* [Ugit](https://bhupesh.me/undo-your-last-git-mistake-with-ugit/) - Undo Git Commands
* [Onefetch](https://onefetch.dev) / [GitHub](https://github.com/o2sh/onefetch) - Command-line Git information tool
* [Sourcegraph](https://about.sourcegraph.com/) - Git Repository Sourcegraph Editor
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* [Awesome Generative AI Guide](https://github.com/aishwaryanr/awesome-generative-ai-guide) - LLM Research Resources
* [Machine Learning Roadmap](https://rentry.org/machine-learning-roadmap), [SAAYN](https://spreadsheets-are-all-you-need.ai/), [machine-learning-zoomcamp](https://github.com/DataTalksClub/machine-learning-zoomcamp) or [LLM Course](https://github.com/mlabonne/llm-course) - Learn Machine Learning
* [LLM Training](https://rentry.org/llm-training) - LLM Training Guide
* [LLM Text Complation](https://github.com/molbal/llm-text-completion-finetune) - LLM Finetuning / Text Complation
* [TeachableMachine](https://teachablemachine.withgoogle.com/) or [TensorFlow](https://www.tensorflow.org/) - Create Machine Learning Models
* [Google AI Studio](https://aistudio.google.com/) - Generative Model Prototyping
* [DVC](https://dvc.org/) - Machine Learning Version Control
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* [Langchain](https://python.langchain.com) - Build Apps via LLM / [Extract](https://github.com/langchain-ai/langchain-extract)
* [PlugBear](https://plugbear.io/) - Connect LLMs to Apps
* [GPTCache](https://gptcache.readthedocs.io) - LLM Response Cache
* [Code2Prompt](https://github.com/mufeedvh/code2prompt) - Convert Codebase to LLM Prompt
* [Dump Dir](https://github.com/fargusplumdoodle/dump_dir) - Provide Context to LLMs via Clipboard Content
* [OpenCog](https://opencog.org/) or [AForge](https://github.com/andrewkirillov/AForge.NET) - Artificial Intelligence Frameworks
* [Nixified](https://nixified.ai/) - Nix Flake for AI Projects
* [Approaching (Almost) Any Machine Learning Problem](https://github.com/abhishekkrthakur/approachingalmost/blob/master/AAAMLP.pdf) - Machine Learning Problem-Solving Book