- [P] New book explaining more advanced concepts in machine learning, deep learning, and AI https://leanpub.com/machine-learning-q-and-ai/ 3 comments machinelearning
- New book explaining more advanced concepts in machine learning, deep learning, and AI https://leanpub.com/machine-learning-q-and-ai/ 9 comments learnmachinelearning
Linking pages
- Running PyTorch on the M1 GPU https://sebastianraschka.com/blog/2022/pytorch-m1-gpu.html 203 comments
- AI and Open Source in 2023 - by Sebastian Raschka, PhD https://magazine.sebastianraschka.com/p/ai-and-open-source-in-2023 67 comments
- Understanding and Coding the Self-Attention Mechanism of Large Language Models From Scratch https://sebastianraschka.com/blog/2023/self-attention-from-scratch.html 44 comments
- Implementing a Principal Component Analysis (PCA) http://sebastianraschka.com/Articles/2014_pca_step_by_step.html 26 comments
- Optimizing LLMs From a Dataset Perspective https://sebastianraschka.com/blog/2023/optimizing-LLMs-dataset-perspective.html 24 comments
- Keeping Up With AI Research And News https://sebastianraschka.com/blog/2023/keeping-up-with-ai.html 22 comments
- Chapter 1: Introduction to Machine Learning and Deep Learning https://sebastianraschka.com/blog/2020/intro-to-dl-ch01.html 20 comments
- Introduction to Deep Learning https://sebastianraschka.com/blog/2021/dl-course.html 19 comments
- Linear Discriminant Analysis http://sebastianraschka.com/Articles/2014_python_lda.html 11 comments
- Understanding Parameter-Efficient Finetuning of Large Language Models: From Prefix Tuning to LLaMA-Adapters https://sebastianraschka.com/blog/2023/llm-finetuning-llama-adapter.html 4 comments
- Ahead of AI #9: LLM Tuning & Dataset Perspectives https://magazine.sebastianraschka.com/p/ahead-of-ai-9-llm-tuning-and-dataset 4 comments
- Ahead of AI #10: State of Computer Vision 2023 https://magazine.sebastianraschka.com/p/ahead-of-ai-10-state-of-computer 3 comments
- Sharing Deep Learning Research Models with Lightning Part 2: Leveraging the Cloud https://sebastianraschka.com/blog/2022/lightning-app-srgan-2.html 2 comments
- Understanding Encoder And Decoder LLMs https://magazine.sebastianraschka.com/p/understanding-encoder-and-decoder 2 comments
- Sharing Deep Learning Research Models with Lightning Part 1: Building A Super Resolution App https://sebastianraschka.com/blog/2022/lightning-app-srgan-1.html 0 comments
- Entry Point Data http://sebastianraschka.com/Articles/2014_scikit_dataprocessing.html 0 comments
- Dixon's Q test for outlier identification http://sebastianraschka.com/Articles/2014_dixon_test.html 0 comments
- Molecular docking, estimating free energies of binding, and AutoDock's semi-empirical force field http://sebastianraschka.com/Articles/2014_autodock_energycomps.html 0 comments
- Model evaluation, model selection, and algorithm selection in machine learning https://sebastianraschka.com/blog/2016/model-evaluation-selection-part1.html 0 comments
- Model evaluation, model selection, and algorithm selection in machine learning http://sebastianraschka.com/blog/2016/model-evaluation-selection-part2.html 0 comments
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