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* [Basaran](https://github.com/hyperonym/basaran) - Text Autocomplete AI
* [Compose](https://www.compose.ai/) - Text Autocomplete AI Extension
* [InkForAll](https://app.inkforall.com/tools) - Multiple AI Text Tools
* [SheetPlus](https://sheetplus.ai/), [FormulaHive](https://formulahive.com/), [NumerousAI](https://workspace.google.com/marketplace/app/numerousai/575253125118) or [ExcelFormulaBot](https://excelformulabot.com/) - Excel AI Tools
* [SheetPlus](https://sheetplus.ai/), [NumerousAI](https://workspace.google.com/marketplace/app/numerousai/575253125118) or [ExcelFormulaBot](https://excelformulabot.com/) - Excel AI Tools
* [GPT-JT](https://huggingface.co/togethercomputer/GPT-JT-6B-v1) - Text Classification AI
* [Image2Paragraph](https://github.com/showlab/Image2Paragraph) - Image to Descriptive Paragraph
* [MathGPT](https://mathgpt.streamlit.app/) - Math Solving AI
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* [TeachableMachine](https://teachablemachine.withgoogle.com/) or [TensorFlow](https://www.tensorflow.org/) - Create Machine Learning Models
* [Netron](https://github.com/lutzroeder/netron) - Visualizer for Neural Network, Deep Learning, and Machine Learning Models
* [Cyberbotics](https://cyberbotics.com/) - Robot Simulator
* [100-Days-Of-ML-Code](https://github.com/Avik-Jain/100-Days-Of-ML-Code) or [Practical Deep Learning](https://course.fast.ai/) - Machine Learning Coding Lessons
* [minitorch](https://github.com/minitorch/minitorch) - Machine Learning Engineering Course Code
* [Approaching (Almost) Any Machine Learning Problem](https://github.com/abhishekkrthakur/approachingalmost/blob/master/AAAMLP.pdf) - Machine Learning Problem Solving Book
* [ML-Youtube-Courses](https://github.com/dair-ai/ML-YouTube-Courses) - Machine Learning Courses on YouTube
* [MiniGPT-4](https://minigpt-4.github.io/) - Advanced Large Language Models
* [Megatron-LM](https://github.com/NVIDIA/Megatron-LM#retro) - LLM Training Codebase
* [PromptPapers](https://github.com/thunlp/PromptPapers) - Pre-Trained Language Model Tuning Papers
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* [Langchain](https://github.com/hwchase17/langchain) - Build Apps via LLM
* [GPTCache](https://github.com/zilliztech/GPTCache) - LLM Response Cache
* [Caffee](https://caffe.berkeleyvision.org/) / [Git](https://github.com/BVLC/caffe), [Awesome Machine Learning](https://github.com/josephmisiti/awesome-machine-learning) or [OpenNN](https://www.opennn.net/) / [Git](https://github.com/Artelnics/OpenNN) - Machine Learning Framework
* [100-Days-Of-ML-Code](https://github.com/Avik-Jain/100-Days-Of-ML-Code) or [Practical Deep Learning](https://course.fast.ai/) - Machine Learning Coding Lessons
* [minitorch](https://github.com/minitorch/minitorch) - Machine Learning Engineering Course Code
* [Approaching (Almost) Any Machine Learning Problem](https://github.com/abhishekkrthakur/approachingalmost/blob/master/AAAMLP.pdf) - Machine Learning Problem Solving Book
* [MetaAcademy](https://metacademy.org/) - Machine Learning Guides
* [ML-Youtube-Courses](https://github.com/dair-ai/ML-YouTube-Courses) - Machine Learning Courses on YouTube
* [ML Course Notes](https://github.com/dair-ai/ML-Course-Notes) - Machine Learning Course Notes