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Python Data Science Handbook: full text in Jupyter Notebooks
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
StableLM: Stability AI Language Models
This repository contains implementations and illustrative code to accompany DeepMind publications
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Notebooks and code for the book "Introduction to Machine Learning with Python"
Visualizations for machine learning datasets
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
The 3rd edition of course.fast.ai
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
An educational software system of a tiny self-compiling C compiler, a tiny self-executing RISC-V emulator, and a tiny self-hosting RISC-V hypervisor.
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
Materials for my scikit-learn tutorial
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
Low-Cost Open Source Ventilator or PAPR
Various ipython notebooks
Tutorials and training material for the H2O Machine Learning Platform
DeepRacer workshop content. This Guidance demonstrates how software developers can use an Amazon SageMaker Notebook instance to directly train and evaluate AWS DeepRacer models with full control
Course materials for Advanced Binary Deobfuscation by NTT Secure Platform Laboratories
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
Elastic Malware Benchmark for Empowering Researchers
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).