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Learn how to design, develop, deploy and iterate on production-grade ML applications.
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Python programs, usually short, of considerable difficulty, to perfect particular skills.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Visualizations for machine learning datasets
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Probabilistic reasoning and statistical analysis in TensorFlow
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Beaker Extensions for Jupyter Notebook
Massively parallel rigidbody physics simulation on accelerator hardware.
Logica is a logic programming language that compiles to SQL. It runs on DuckDB, Google BigQuery, PostgreSQL and SQLite.
Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
🍳 Recipes for the Prodigy, our fully scriptable annotation tool
Python library for identifying the peaks and valleys of a time series.
An Optimized Speech-to-Text Pipeline for the Whisper Model Supporting Multiple Inference Engine
To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax pr…
A concise syntax to describe and execute routine data analysis tasks
A Python + Pandas adaptation of the blog post: Analyzing Ethereum, Bitcoin, and 1200+ other Cryptocurrencies using PostgreSQL