From d3a70429688a9e8f93d82e0679bb862d380b1663 Mon Sep 17 00:00:00 2001 From: nbats <44333466+nbats@users.noreply.github.com> Date: Mon, 29 May 2023 17:43:24 -0700 Subject: [PATCH] Update DEVTools.md --- DEVTools.md | 29 ++++++++++++++++++++++++++++- 1 file changed, 28 insertions(+), 1 deletion(-) diff --git a/DEVTools.md b/DEVTools.md index 050486e04..a34b28c4c 100644 --- a/DEVTools.md +++ b/DEVTools.md @@ -4,7 +4,7 @@ *** *** -**[Table of Contents](https://i.ibb.co/jHY8NJS/2c8b8d51f41c.png)** - For mobile users +**[Table of Contents](https://ibb.co/PNpR2p1)** - For mobile users *** *** @@ -1411,3 +1411,30 @@ * [ipinfo.io](https://ipinfo.io/) - IP Data API * [TheCatAPI](https://thecatapi.com/) - Cat Rating API * [SWAPI](https://pipedream.com/apps/swapi) - Star Wars APIs + +*** + +## ▷ Machine Learning + +* ⭐ **[awesome-list-of-awesomes](https://github.com/Nachimak28/awesome-list-of-awesomes)**, [awesome-marketing-datascience](https://github.com/underlines/awesome-marketing-datascience/), [awesome-decentralized-llm](https://github.com/imaurer/awesome-decentralized-llm), [CyberCowboy](https://local-llm.cybercowboy.de) or [ML_Resources](https://github.com/tunguz/ML_Resources) - Machine Learning Resources +* [Catalyzex](https://www.catalyzex.com/) or [PapersWithCode](https://paperswithcode.com/) - Search Machine Learning Models / Papers +* [awesome-google-colab](https://github.com/firmai/awesome-google-colab) - Machine Learning Colabs +* [OpenAIPlayground](https://github.com/nat/openplayground) +* [OpenML](https://www.openml.org/) or [Hugging Face](https://huggingface.co/) - Machine Learning Datasets +* [DVC](https://dvc.org/) - Machine Learning Version Control +* [DeepSpeed](https://github.com/microsoft/DeepSpeed) - Deep Learning Optimization Library +* [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 +* [Dataset Card for Alpaca](https://huggingface.co/datasets/tatsu-lab/alpaca) or [awesome-instruction-dataset](https://github.com/yaodongC/awesome-instruction-dataset) - Language Model Training Datasets +* [PromptPapers](https://github.com/thunlp/PromptPapers) - Pre-Trained Language Model Tuning Papers +* [Shap](https://github.com/slundberg/shap) - Language Model Response Analyzer +* [Langchain](https://github.com/hwchase17/langchain) - Build Apps via LLM +* [GPTCache](https://github.com/zilliztech/GPTCache) - LLM Response Cache +* [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 +* [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 +* [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