daveh19 Goto Github PK
Name: David Higgins
Type: User
Bio: Numerical scientist, specialising in high-performance numerical simulations and inference models. Currently working on Causality Theory and out-of-sample AI/ML.
Location: Berlin, Germany
Name: David Higgins
Type: User
Bio: Numerical scientist, specialising in high-performance numerical simulations and inference models. Currently working on Causality Theory and out-of-sample AI/ML.
Location: Berlin, Germany
Guideline for AI based Medical Devices
Project documentation including our README, contributing guidelines and more.
AppFlowy is an open-source alternative to Notion. You are in charge of your data and customizations. Built with Flutter and Rust.
Julia wrapper for the ArrayFire library
An experimental open-source attempt to make GPT-4 fully autonomous.
Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
Data Centric AI resources
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
Betting Strategy to Beat the Bookies at Football Games
BERT implementation for radiology full-text reports
Cap Table and Exit Waterfall Tool, https://foresight.is/cap-table
A Python package for modular causal inference analysis and model evaluations
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Actor-Critic simulator for catastrophic failure to learn during task roving in humans. It turns out that the unsupervised bias is not the cause of the failure to learn.
Converts DICOM Resources to FHIR Resources
Containers for data science
econometrics lecture notes and code, mostly using the Julia language
Group project to implement a full data science workflow. The goal is a system capable of hosting multiple predictive models for the German federal elections in 2017.
Simulate multiple independent leaky integrate-and-fire neurons. Incorporates synaptic plasticity model. Useful for comparing effect of independence vs causal synaptic coupling on synaptic plasticity.
A Deep Introduction to Julia for Data Science and Scientific Computing
Guideline IT Security
Simple single neuron simulations in Julia
The Julia Language: A fresh approach to technical computing.
Spiking neural network simulator written in Julia.
Create a Site from Jupyter Notebooks
⚡ Building applications with LLMs through composability ⚡
LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.