Adam Novotny

Adam D Novotny, age 20s View Details

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Adam M Novotny, age 20s, Mantua, OH View Details

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Adam D Novotny, age 41, Madison, WI View Details

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Adam D Novotny, age 41, Madison, WI View Details

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Google Colab and AutoML: Auto-sklearn Setup | ANotes - Adam … • adamnovotny.com

Google Colab and AutoML: Auto-sklearn Setup Published: 2020-12-04 Auto ML is fast becoming a popular solution to build minimal viable models for new projects. A popular library for Python is Auto-sklearn that leverages the most popular Python ML library scikit-learn. Auto-sklearn runs a smart search over scikit-learn models and parameters to find the best performing ensemble of …

Machine Learning Notes | ANotes - Adam Novotny • adamnovotny.com

Explainability Books: Interpretable Machine Learning Tutorials: twosigma: a brief survey EthicalML tools EthicalML github Partial dependence plots (PDP): x-axis = value of a single feature, y-axis = label. scikit Individual conditional expectation (ICE): x-axis = value of a single feature, y-axis = label. scikit Permutation feature importance: Randomly shuffle features and calculate impact …

ANotes - adamnovotny.com • adamnovotny.com

Machine learning models (including language models) can be easily deployed using generous free tier on Hugging Faceand a python-based open source UI tool Gradioby following these steps.

Google Colab and Auto-sklearn with Profiling | ANotes - Adam … • adamnovotny.com

Mar 20, 2021 · Google Colab and Auto-sklearn with Profiling Published: 2021-03-20 This article is a follow up to my previous tutorial on how to setup Google Colab and auto-sklean. Here, I will go into more detail that shows auto-sklearn performance on an artificially created dataset. The full notebook gist can be found here. First, I generated a regression dataset using scikit learn. X, …

LLM - adamnovotny.com • adamnovotny.com

Large Language Model playground

Keras LSTM Forecasting Using Synthetic Data | ANotes - Adam … • adamnovotny.com

Nov 13, 2021 · Model ¶ In [18]: inputs = keras.layers.Input(shape=(x.shape[1], x.shape [2])) lstm_out = keras.layers.LSTM(32)(inputs) outputs = keras.layers.Dense(1)(lstm_out) model = keras.Model(inputs=inputs, outputs=outputs) model.compile(optimizer=keras.optimizers.Adam( learning_rate=0.001), loss="mse" ) model.summary() Model: "model"

Dynamic HTML with Python, AWS Lambda, and Containers - Adam … • adamnovotny.com

Mar 27, 2021 · { "queryStringParameters": { "my_name": "Adam" } } Cost The simple AWS base server returns responses such as the one below. This is where we can see the significant impact of the new 1ms pricing update. The cost of running this example code is about 9ms which is very small considering that we are returning a full html template to browsers.

Large Language Models (LLMs) Notes | ANotes • adamnovotny.com

Large Language Models (LLMs) Notes Published: 2025-04-12 Contents Architecture Papers Overviews Architecture LLM visualization Papers Attention Is All You Need (pdf) Overview Deep Dive into LLMs like ChatGPT (Summary) YouTube Andrej Karpathy Intro to Large Language Models YouTube Andrej Karpathy Transformers (how LLMs work) explained visually | DL5 …

Deploying Language Models With Gradio On Hugging Face • adamnovotny.com

Deploying Language Models With Gradio On Hugging Face Published: 2023-10-14 Machine learning models (including language models) can be easily deployed using generous free tier on Hugging Face and a python-based open source UI tool Gradio by following these steps. See live deployed app and source code here For local development, create the following Dockerfile. It …