Repository Index

Data and code behind the articles and graphics at FiveThirtyEight

• data

This repository contains implementations and illustrative code to accompany DeepMind publications

The repository host gives no description.

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

• mimic-iii
• critical-care
• icu
• physionet

Code for the ProteinMPNN paper

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

• medical-imaging
• medical-ai
• deep-learning
• machine-learning

Collection of tools and code examples to demonstrate best practices in using Amazon EC2 Spot Instances.

Code for "High-Precision Model-Agnostic Explanations" paper

Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.

The codes I made while I practiced various TensorFlow examples

Sources codes for: Mastering Python for Finance, Second Edition

• machine-learning
• python
• ai

This is the code for "Bitcoin Prediction" by Siraj Raval on Youtube

Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.

• disentanglement
• drug-discovery
• genomics
• perturbation

Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.

• data-science
• deep-learning
• finance
• financial-data

Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders

• epigenomics
• pattern-search
• data-visualization
• interactive-machine-learning

Jupyterlab extension to show notebook cell completion notifications

• jupyter
• jupyterlab
• browser-notifications
• jupyterlab-extension

Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.

• ios
• coreml
• coreml-framework
• swift

💸 Papers and Code Implements for Quantitative-Trading

A multi-language tokenizer for extracting identifiers from source code.

A coding exercise: let's convert dirty machine learning code into clean code using a Pipeline - which is the Pipe and Filter Design Pattern applied to Machine Learning.