| | Python Setup Tips (github.com/rasbt) |
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2 points by tosh 51 days ago | past
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| | Implementing the Llama 3.2 1B and 3B Architectures from Scratch (github.com/rasbt) |
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5 points by sbbq 6 months ago | past
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| | Converting GPT to Llama step-by-step code guide (github.com/rasbt) |
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2 points by sbbq 6 months ago | past
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| | LLM instruction finetuning from-scratch tutorial (github.com/rasbt) |
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2 points by sbbq 9 months ago | past
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| | Evaluating LLMs locally, on a laptop, with Llama 3 and Ollama (github.com/rasbt) |
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2 points by rasbt 9 months ago | past
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| | The Fundamentals of Modern Deep Learning with PyTorch (github.com/rasbt) |
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2 points by Anon84 10 months ago | past
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| | Finetuning an LLM-Based Spam Classifier with LoRA from Scratch (github.com/rasbt) |
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14 points by rasbt 11 months ago | past
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| | Finetune a GPT Model for Spam Detection on Your Laptop in Just 5 Minutes (github.com/rasbt) |
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3 points by rasbt 11 months ago | past
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| | Insights from Finetuning LLMs for Classification Tasks (github.com/rasbt) |
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2 points by rasbt 11 months ago | past
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| | Machine Learning and AI Beyond the Basics Book (github.com/rasbt) |
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2 points by Heidaradar 11 months ago | past
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| | Comparing 5 ways to implement Multihead Attention in PyTorch (github.com/rasbt) |
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3 points by rasbt on March 8, 2024 | past
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| | Implementing a ChatGPT-like LLM from scratch, step by step (github.com/rasbt) |
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739 points by rasbt on Jan 27, 2024 | past | 98 comments
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| | Cyclemoid – a new activation function inspired by cyclical learning rates (github.com/rasbt) |
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2 points by sbbq on April 1, 2022 | past
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| | What are the origins of machine learning? (github.com/rasbt) |
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1 point by ozai on Aug 19, 2019 | past
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| | A collection of various deep learning architectures, models, and tips (github.com/rasbt) |
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13 points by feross on June 11, 2019 | past
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| | Collection of Deep Learning Models for TensorFlow/PyTorch in Jupyter Notebooks (github.com/rasbt) |
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2 points by ehudla on June 6, 2019 | past
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| | Deep Learning Models (80 Jupyter Notebooks) (github.com/rasbt) |
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9 points by submeta on June 5, 2019 | past
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| | Python Machine Learning (2nd Ed.) Code Repository (github.com/rasbt) |
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5 points by selmat on Oct 22, 2018 | past
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| | A visual explanation for the back propagation algorithm for neural networks (github.com/rasbt) |
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3 points by rbanffy on Feb 12, 2018 | past
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| | 3 different ways to do backpropagation in TensorFlow (github.com/rasbt) |
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3 points by sbbq on May 31, 2017 | past
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| | A collection of standalone TensorFlow models in Jupyter Notebooks (github.com/rasbt) |
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3 points by rbanffy on May 29, 2017 | past
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| | Introduction to ANN and Deep Learning – Sebastian Raschka (github.com/rasbt) |
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19 points by nafizh on Dec 30, 2016 | past | 1 comment
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| | Libraries for Data Science in Python (github.com/rasbt) |
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2 points by codeyan on July 5, 2016 | past
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| | Equation-compilation of common ML algorithms and topics [pdf] (github.com/rasbt) |
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1 point by rasbt on June 20, 2016 | past
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| | Python machine learning book (github.com/rasbt) |
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3 points by ngrj on June 14, 2016 | past
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| | Python Machine Learning Book Jupyter (github.com/rasbt) |
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4 points by ltcode on June 11, 2016 | past
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| | What factors should I consider when choosing a predictive model technique? (github.com/rasbt) |
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4 points by rasbt on June 11, 2016 | past
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| | How random forests work, the difference between bagging and boosting (github.com/rasbt) |
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2 points by rasbt on June 10, 2016 | past
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| | “Python Machine Learning” code repo (github.com/rasbt) |
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2 points by duck on June 7, 2016 | past
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| | What is the difference between deep learning and usual machine learning? (github.com/rasbt) |
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228 points by hunglee2 on June 5, 2016 | past | 124 comments
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More |
