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🎓 Sharing machine learning course / lecture notes.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
VIP cheatsheets for Stanford's CS 229 Machine Learning
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
Classical equations and diagrams in machine learning
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.